Podcasts about neuroinformatics

Our guest is today is Dr. Alan Evans. He completed his Ph.D. (1979) and post-doctoral fellowship studying structure-function interaction of proteins at the Department of Biophysics at Leeds University in the U.K.  Subsequently he worked for five years as a PET physicist at Atomic Energy of Canada in Ottawa. In 1984, he joined the Department of Neurology and Neurosurgery at McGill University, where his research interests include multimodal brain imaging with PET and MRI, structural network modelling, and large scale neural informatics. For the past 40 years, he has been an institution at McGill University. He is the co-director of the Ludmer Centre and He is currently Co-Director of both the Ludmer Centre for Neuroinformatics and Mental Health and the Helmholtz International BigBrain Analytics Learning Laboratory (HIBBALL). He is Scientific Director of McGill's “Healthy Brains, Healthy Lives” (HBHL) , and Scientific Director of the Canadian Open Neuroscience Platform (CONP). The technical infrastructure underpinning CONP includes a multi-modal databasing system (LORIS)  and an international grid-processing portal (CBRAIN) both developed in Prof. Evan's MCIN lab. These platforms also support international brain networks, notably the Canada-China-Cuba Axis and the Global Brain Consortium, both co-chaired by Prof. Evans. Furthermore, he was named the Victor Dahdaleh Chair in Neurosciences in October of 2022. Episode producers Xugian Michelle Li Nagashree Thovinakere

Psychologists and neuroscientists struggle with how best to interpret human motivation and decision making. The assumption is that below a mental “surface” of conscious awareness lies a deep and complex set of inner beliefs, values, and desires that govern our thoughts, ideas, and actions, and that to know this depth is to know ourselves. In the The Mind Is Flat: The Remarkable Shallowness of the Improvising Brain (Yale UP, 2019), behavioural scientist Nick Chater contends just the opposite: rather than being the plaything of unconscious currents, the brain generates behaviors in the moment based entirely on our past experiences. Engaging the reader with eye-opening experiments and visual examples, Chater first demolishes our intuitive sense of how our mind works, then argues for a positive interpretation of the brain as a ceaseless and creative improviser. Dr. Nick Chater is Professor of behavioral science at the Warwick Business School and cofounder of Decision Technology Ltd. He has contributed to more than two hundred articles and book chapters and is author, co-author, or co-editor of fourteen books. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (www.grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

Psychologists and neuroscientists struggle with how best to interpret human motivation and decision making. The assumption is that below a mental “surface” of conscious awareness lies a deep and complex set of inner beliefs, values, and desires that govern our thoughts, ideas, and actions, and that to know this depth is to know ourselves. In the The Mind Is Flat: The Remarkable Shallowness of the Improvising Brain (Yale UP, 2019), behavioural scientist Nick Chater contends just the opposite: rather than being the plaything of unconscious currents, the brain generates behaviors in the moment based entirely on our past experiences. Engaging the reader with eye-opening experiments and visual examples, Chater first demolishes our intuitive sense of how our mind works, then argues for a positive interpretation of the brain as a ceaseless and creative improviser. Dr. Nick Chater is Professor of behavioral science at the Warwick Business School and cofounder of Decision Technology Ltd. He has contributed to more than two hundred articles and book chapters and is author, co-author, or co-editor of fourteen books. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (www.grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science

Psychologists and neuroscientists struggle with how best to interpret human motivation and decision making. The assumption is that below a mental “surface” of conscious awareness lies a deep and complex set of inner beliefs, values, and desires that govern our thoughts, ideas, and actions, and that to know this depth is to know ourselves. In the The Mind Is Flat: The Remarkable Shallowness of the Improvising Brain (Yale UP, 2019), behavioural scientist Nick Chater contends just the opposite: rather than being the plaything of unconscious currents, the brain generates behaviors in the moment based entirely on our past experiences. Engaging the reader with eye-opening experiments and visual examples, Chater first demolishes our intuitive sense of how our mind works, then argues for a positive interpretation of the brain as a ceaseless and creative improviser. Dr. Nick Chater is Professor of behavioral science at the Warwick Business School and cofounder of Decision Technology Ltd. He has contributed to more than two hundred articles and book chapters and is author, co-author, or co-editor of fourteen books. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (www.grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/psychology

Psychologists and neuroscientists struggle with how best to interpret human motivation and decision making. The assumption is that below a mental “surface” of conscious awareness lies a deep and complex set of inner beliefs, values, and desires that govern our thoughts, ideas, and actions, and that to know this depth is to know ourselves. In the The Mind Is Flat: The Remarkable Shallowness of the Improvising Brain (Yale UP, 2019), behavioural scientist Nick Chater contends just the opposite: rather than being the plaything of unconscious currents, the brain generates behaviors in the moment based entirely on our past experiences. Engaging the reader with eye-opening experiments and visual examples, Chater first demolishes our intuitive sense of how our mind works, then argues for a positive interpretation of the brain as a ceaseless and creative improviser. Dr. Nick Chater is Professor of behavioral science at the Warwick Business School and cofounder of Decision Technology Ltd. He has contributed to more than two hundred articles and book chapters and is author, co-author, or co-editor of fourteen books. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (www.grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

(0:50) - All The Brain Chip Implant Benefits & None of The SurgeryBecome a founding reader of our newsletter: read.thenextbyte.com

Episode 84. Maryann Martone is an emeritus professor of neuroscience at UC San Diego. She received her BA from Wellesley College in Biological Psychology and Ancient Greek and her PhD in Neuroscience from the UC San Diego

Dr. Elisa Donati of the Institute of Neuroinformatics in Zurich talks to Dr. Sunny Bains about neuromorphic circuits for prosthetics, drug delivery and more. Discussion follows with Dr. Giulia D'Angelo from the Fortiss research institute in Munich, and Professor Ralph Etienne-Cummings of Johns Hopkins University.

In this episode of the Brains and Machines podcast, EE Times regular Sunny Bains talks to Dr. Tobi Delbrück, one of the original neuromorphic engineers from Carver Mead's team at Caltech. Now a professor at the Institute of Neuroinformatics in Zurich, he has spent his career developing neuromorphic cameras and other technology. In this interview, you'll find out how he got started in the field, his work developing the dynamic vision sensor (also known as an event camera) and the pros and cons of sparse representations.

In this conversation, Laura Sikstrom, a Medical Anthropologist and Project Scientist at The Krembil Center for Neuroinformatics at the Center for Addiction and Mental Health, and an AMS Healthcare fellow in Compassion and AI, speaks with Sean Hill, the Director of The Krembil Center for Neuroinformatics, Senior Scientist at the Center for Addiction and Mental Health, and Professor at the University of Toronto. They discuss the meaning of fairness in mental health and the concepts used to support. Dr. Laura Sikstrom is also an assistant professor (status-only) in the Department of Anthropology at the University of Toronto. Dr. Sikstrom also co-leads the Predictive Care Team at CAMH, which focuses on the intricate intersection of artificial intelligence (AI) and mental health care. By integrating computational techniques with ethnographic insights, this team investigates the potential and challenges of incorporating AI into mental health practice, with a focus on compassionate and equitable care. Dr. Sikstrom received funding from AMS Healthcare, Google, SSHRC and CIHR and is also a nominee for the prestigious Governor General's Gold Award.  Dr. Sean Hill is also a computational neuroscientist with experience in building large-scale computational models of brain circuitry. The Centre collaborates with clinicians and researchers, employing neuroinformatics, artificial intelligence, and multi-scale modeling, to develop data-driven definitions of brain disorders, predict patient trajectories, and transform mental health care. Dr. Hill applies large-scale data integration, neuroinformatics, multiscale brain modeling and machine learning to improve our understanding and treatment of mental health disorders. The Centre's mandate is to accelerate global collaborations in brain science using the power of big data and brain modeling to fundamentally change how mental illness is understood. Resources: Sikstrom, Laura, Marta M. Maslej, Zoe Findlay, Gillian Strudwick, Katrina Hui, Juveria Zaheer, Sean L. Hill, and Daniel Z. Buchman. 2023. “Predictive Care: A Protocol for a Computational Ethnographic Approach to Building Fair Models of Inpatient Violence in Emergency Psychiatry.”  Sikstrom, Laura, Marta M. Maslej, Katrina Hui, Zoe Findlay, Daniel Z. Buchman, and Sean L. Hill. 2022. “Conceptualising Fairness: Three Pillars for Medical Algorithms and Health Equity.”  What is ‘AI' and what is it doing in psychiatry? A webinar presented at the RBC Patient & Family Learning Space, CAMH, November 2, 2022. https://www.youtube.com/watch?v=qVUs-BnGIOU What happens to our brains when we get depressed? The Walrus, 2021, by Simon Lewsen. https://thewalrus.ca/what-happens-to-our-brains-when-we-get-depressed/

In the latest episode of Brains and Machines, EE Times regular Dr. Sunny Bains talks to Professor Melika Payvand, who designs neural systems from the circuit-level up at the Institute of Neuroinformatics in Zurich. You'll find out the role that memristors are playing in the systems she designs, why neural circuits need to operate at different timescales, and why copying some features of biological dendrites could add computational power to silicon brains. Discussion follows with Dr. Giulia D'Angelo from the Italian Institute of Technology and Professor Ralph Etienne-Cummings from Johns Hopkins University.

In this episode of the Brains and Machines podcast, EE Times regular Sunny Bains talks to Professor Giacomo Indiveri, from the Institute of Neuroinformatics in Zurich. They talk about building biologically-plausible neural circuits in silicon, the trade-offs involved in using analog and digital circuits, and how the technology has been translated into startups. After that, Sunny discusses the interview with Giulia D'Angelo from the Italian Institute of Technology and Ralph Etienne-Cummings from Johns Hopkins University.

Join Hume AI CEO Dr. Alan Cowen, Dr. Yukiyasu Kamitani, Professor at the University of Kyoto and Head of the Department of Neuroinformatics at ATR Computational Neuroscience Laboratories, and host Matt Forte as they discuss the nature of emotions in the human brain. Learn how scientists are decoding the emotions evoked by thousands of videos from brain activity, and how scientists are scanning the brains of sleeping subjects and decoding the visual content of their dreams. Grab a friend and set out on a journey with the new season of The Feelings Lab, a podcast series from Hume AI. We're exploring the frontier of emotion science and its lessons for creating a more empathic future. We'll discover how scientists and technologists are seeking to bring empathy to social media, robots, digital art, and more, building equity and compassion into these ubiquitous AI systems. Join our expert hosts and emotionally-attuned guests each week to learn how empathic technologies are shaping the modern world. Subscribe, and tell a friend to subscribe wherever you get your podcasts! Apple: https://apple.co/3iaXAO7 Spotify: https://spoti.fi/3zM0lvh Check us out at: https://hume.ai LinkedIn: https://www.linkedin.com/company/hume-ai YouTube: https://bit.ly/3zS3Ekq Twitter: @hume_ai and @alancowen If you have any questions you'd like answered in an upcoming episode, feel free to send them to thefeelingslab@hume.ai. About Hume AI: Hume AI is an AI research lab and technology company offering the tools to build expression understanding and empathy into modern technology. Our mission is to ensure that the future is built to serve our emotions, so that as AI gets smarter, it remains aligned with our goals.

Today we continue our ICML coverage joined by Melika Payvand, a research scientist at the Institute of Neuroinformatics at the University of Zurich and ETH Zurich. Melika spoke at the Hardware Aware Efficient Training (HAET) Workshop, delivering a keynote on Brain-inspired hardware and algorithm co-design for low power online training on the edge. In our conversation with Melika, we explore her work at the intersection of ML and neuroinformatics, what makes the proposed architecture “brain-inspired”, and how techniques like online learning fit into the picture. We also discuss the characteristics of the devices that are running the algorithms she's creating, and the challenges of adapting online learning-style algorithms to this hardware. The complete show notes for this episode can be found at twimlai.com/go/585

Dr. Katrina Ignacio discusses the emerging subspecialty of Neuroinformatics.

Dr. Suraj Honnuraiah is a postdoctoral scientist in the laboratory of Prof. Greg Stuart at the Australian National University in Canberra, Australia. He grew up in India and did his Masters in Neuroinformatics with Prof. Rodney Douglas at the ETH in Zurich, Switzerland.   A tragic accident in childhood led to his friend losing his vision at an early age. Suraj talks about how he used this incident as his motivation to study and work in vision neuroscience and neuroinformatics for his PhD. He also talks to us about some subtle and covert forms of discrimination that he has faced and emphasizes the importance of having a diverse and inclusive working environment.   Currently, he is studying the cellular and circuit mechanisms of binocular visual information processing in rodent visual cortex using optogenetics and electrophysiological techniques. Links: Honnuraiah's ANU page Honnuraiah's Loop profile Honnuraiah's work on ResearchGate Audio-transcription of the episode Interviewed and edited by Shruti Muralidhar, Audio content editing by Abhishek Chari, Music from Lee Rosevere. Other projects by Shruti Muralidhar: @polybiotique, BiasWatchIndia, IndSciComm.

In When Brains Dream: Exploring the Science and Mystery of Sleep (W. W. Norton, 2021), psychologist Dr. Antonio Zadra and neuroscientist Dr. Robert Stickgold offer a fascinating survey of the biological and psychological bases of dreams and dreaming. The authors address head-on fundamental questions such as why do we dream? Do dreams hold psychological meaning or are they merely the reflection of random brain activity? What purpose do dreams serve? As part of their synthesis, Zadra and Stickgold introduce a new conceptual model of dream function, NEXTUP (Network Exploration to Understand Possibilities). This model can help readers and scientists to understand key features of several types of dreams, from prophetic dreams to nightmares and lucid dreams. When Brains Dream also explores the history of psychological, neuroscientific, and psychoanalytic dream research, examines a host of dream-related disorders, and explains how dreams can facilitate creativity and be a source of personal insight. Dr. Robert Stickold is a full professor of psychiatry at the Harvard Medical School and the Beth Israel Deaconess Medical Center. A sleep researcher, his work focuses on the relationship between sleep and learning. His articles in the popular press are intended to illustrate the dangers of sleep deprivation. Dr. Antonio Zadra is full Professor in the Department of Psychology at the Université de Montréal, and is a researcher at the Center for Advanced Research in Sleep Medicine, as well as a member of the Interdisciplinary Research Centre on Intimate Relationship Problems and Sexual Abuse. His research covers a wide range of topics on the psychology of dreaming, including parasomnias, somnambulism, interactions with personality and well-being, and consciousness. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/neuroscience

In When Brains Dream: Exploring the Science and Mystery of Sleep (W. W. Norton, 2021), psychologist Dr. Antonio Zadra and neuroscientist Dr. Robert Stickgold offer a fascinating survey of the biological and psychological bases of dreams and dreaming. The authors address head-on fundamental questions such as why do we dream? Do dreams hold psychological meaning or are they merely the reflection of random brain activity? What purpose do dreams serve? As part of their synthesis, Zadra and Stickgold introduce a new conceptual model of dream function, NEXTUP (Network Exploration to Understand Possibilities). This model can help readers and scientists to understand key features of several types of dreams, from prophetic dreams to nightmares and lucid dreams. When Brains Dream also explores the history of psychological, neuroscientific, and psychoanalytic dream research, examines a host of dream-related disorders, and explains how dreams can facilitate creativity and be a source of personal insight. Dr. Robert Stickold is a full professor of psychiatry at the Harvard Medical School and the Beth Israel Deaconess Medical Center. A sleep researcher, his work focuses on the relationship between sleep and learning. His articles in the popular press are intended to illustrate the dangers of sleep deprivation. Dr. Antonio Zadra is full Professor in the Department of Psychology at the Université de Montréal, and is a researcher at the Center for Advanced Research in Sleep Medicine, as well as a member of the Interdisciplinary Research Centre on Intimate Relationship Problems and Sexual Abuse. His research covers a wide range of topics on the psychology of dreaming, including parasomnias, somnambulism, interactions with personality and well-being, and consciousness. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

In When Brains Dream: Exploring the Science and Mystery of Sleep (W. W. Norton, 2021), psychologist Dr. Antonio Zadra and neuroscientist Dr. Robert Stickgold offer a fascinating survey of the biological and psychological bases of dreams and dreaming. The authors address head-on fundamental questions such as why do we dream? Do dreams hold psychological meaning or are they merely the reflection of random brain activity? What purpose do dreams serve? As part of their synthesis, Zadra and Stickgold introduce a new conceptual model of dream function, NEXTUP (Network Exploration to Understand Possibilities). This model can help readers and scientists to understand key features of several types of dreams, from prophetic dreams to nightmares and lucid dreams. When Brains Dream also explores the history of psychological, neuroscientific, and psychoanalytic dream research, examines a host of dream-related disorders, and explains how dreams can facilitate creativity and be a source of personal insight. Dr. Robert Stickold is a full professor of psychiatry at the Harvard Medical School and the Beth Israel Deaconess Medical Center. A sleep researcher, his work focuses on the relationship between sleep and learning. His articles in the popular press are intended to illustrate the dangers of sleep deprivation. Dr. Antonio Zadra is full Professor in the Department of Psychology at the Université de Montréal, and is a researcher at the Center for Advanced Research in Sleep Medicine, as well as a member of the Interdisciplinary Research Centre on Intimate Relationship Problems and Sexual Abuse. His research covers a wide range of topics on the psychology of dreaming, including parasomnias, somnambulism, interactions with personality and well-being, and consciousness. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/book-of-the-day

In When Brains Dream: Exploring the Science and Mystery of Sleep (W. W. Norton, 2021), psychologist Dr. Antonio Zadra and neuroscientist Dr. Robert Stickgold offer a fascinating survey of the biological and psychological bases of dreams and dreaming. The authors address head-on fundamental questions such as why do we dream? Do dreams hold psychological meaning or are they merely the reflection of random brain activity? What purpose do dreams serve? As part of their synthesis, Zadra and Stickgold introduce a new conceptual model of dream function, NEXTUP (Network Exploration to Understand Possibilities). This model can help readers and scientists to understand key features of several types of dreams, from prophetic dreams to nightmares and lucid dreams. When Brains Dream also explores the history of psychological, neuroscientific, and psychoanalytic dream research, examines a host of dream-related disorders, and explains how dreams can facilitate creativity and be a source of personal insight. Dr. Robert Stickold is a full professor of psychiatry at the Harvard Medical School and the Beth Israel Deaconess Medical Center. A sleep researcher, his work focuses on the relationship between sleep and learning. His articles in the popular press are intended to illustrate the dangers of sleep deprivation. Dr. Antonio Zadra is full Professor in the Department of Psychology at the Université de Montréal, and is a researcher at the Center for Advanced Research in Sleep Medicine, as well as a member of the Interdisciplinary Research Centre on Intimate Relationship Problems and Sexual Abuse. His research covers a wide range of topics on the psychology of dreaming, including parasomnias, somnambulism, interactions with personality and well-being, and consciousness. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science

In When Brains Dream: Exploring the Science and Mystery of Sleep (W. W. Norton, 2021), psychologist Dr. Antonio Zadra and neuroscientist Dr. Robert Stickgold offer a fascinating survey of the biological and psychological bases of dreams and dreaming. The authors address head-on fundamental questions such as why do we dream? Do dreams hold psychological meaning or are they merely the reflection of random brain activity? What purpose do dreams serve? As part of their synthesis, Zadra and Stickgold introduce a new conceptual model of dream function, NEXTUP (Network Exploration to Understand Possibilities). This model can help readers and scientists to understand key features of several types of dreams, from prophetic dreams to nightmares and lucid dreams. When Brains Dream also explores the history of psychological, neuroscientific, and psychoanalytic dream research, examines a host of dream-related disorders, and explains how dreams can facilitate creativity and be a source of personal insight. Dr. Robert Stickold is a full professor of psychiatry at the Harvard Medical School and the Beth Israel Deaconess Medical Center. A sleep researcher, his work focuses on the relationship between sleep and learning. His articles in the popular press are intended to illustrate the dangers of sleep deprivation. Dr. Antonio Zadra is full Professor in the Department of Psychology at the Université de Montréal, and is a researcher at the Center for Advanced Research in Sleep Medicine, as well as a member of the Interdisciplinary Research Centre on Intimate Relationship Problems and Sexual Abuse. His research covers a wide range of topics on the psychology of dreaming, including parasomnias, somnambulism, interactions with personality and well-being, and consciousness. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/medicine

In When Brains Dream: Exploring the Science and Mystery of Sleep (W. W. Norton, 2021), psychologist Dr. Antonio Zadra and neuroscientist Dr. Robert Stickgold offer a fascinating survey of the biological and psychological bases of dreams and dreaming. The authors address head-on fundamental questions such as why do we dream? Do dreams hold psychological meaning or are they merely the reflection of random brain activity? What purpose do dreams serve? As part of their synthesis, Zadra and Stickgold introduce a new conceptual model of dream function, NEXTUP (Network Exploration to Understand Possibilities). This model can help readers and scientists to understand key features of several types of dreams, from prophetic dreams to nightmares and lucid dreams. When Brains Dream also explores the history of psychological, neuroscientific, and psychoanalytic dream research, examines a host of dream-related disorders, and explains how dreams can facilitate creativity and be a source of personal insight. Dr. Robert Stickold is a full professor of psychiatry at the Harvard Medical School and the Beth Israel Deaconess Medical Center. A sleep researcher, his work focuses on the relationship between sleep and learning. His articles in the popular press are intended to illustrate the dangers of sleep deprivation. Dr. Antonio Zadra is full Professor in the Department of Psychology at the Université de Montréal, and is a researcher at the Center for Advanced Research in Sleep Medicine, as well as a member of the Interdisciplinary Research Centre on Intimate Relationship Problems and Sexual Abuse. His research covers a wide range of topics on the psychology of dreaming, including parasomnias, somnambulism, interactions with personality and well-being, and consciousness. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/psychology

This week on the podcast I'm joined by one of the foremost scientists in the world of mental health; Dr. Sean Hill. Dr. Hill is the Director of the Krembil Centre for Neuroinformatics, Senior Scientist at the Centre for Addiction and Mental Health (CAMH), and a Professor at the University of Toronto (he's pretty smart idk if you got that yet). In this episode, Dr. Hill and I talk all about his work and how it's changing the future of mental health care, and to be honest, at times it sounds like something straight out of a sci-fi flick. Kick back, relax, and take some notes because this week we're talking about everything from artificial intelligence to sleep and even Italian food.Check out Dr. Hill's work:https://www.camh.ca/en/science-and-research/institutes-and-centres/krembil-centre-for-neuroinformaticsFollow the Podcast on Instagram:@lifesawreckpodcastFollow Kyle on Instagram and Tiktok:@moorzyyyFollow Kyle on Twitter:@kmoore0081

In Electric Brain: How the New Science of Brainwaves Reads Minds, Tells Us How We Learn, and Helps Us Change for the Better (BenBella, 2020), eminent neuroscientist R. Douglas Fields surveys the history and current state of scientific understanding about the brain as an electrical organ, and how the electrical activity of the brain relates to cognitive functioning and various clinical conditions. The book begins by documenting some of the fascinating and obscure history of the discovery and early science of electrical brain activity measurements, or ‘brainwaves'. It then goes on to summarize the latest cutting edge research on brainwaves in a wide variety of basic and applied areas of science and medicine - including neuroimaging, neuroplasticity, brain-machine interfaces, artificial intelligence, neurofeedback, brain stimulation therapies, and many others. Electric Brain is a highly accessible, but fact-filled and up-to-date, treatment of one of the most central - and yet still so enigmatic - topics in all of modern science. Dr. R Douglas Fields is Chief of the Nervous System Development and Plasticity Section at the United States National Institutes of Health. He is a world expert on neuron-glia interactions and cellular mechanisms of memory, and is particularly well known for his work on white matter plasticity. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/neuroscience

In Electric Brain: How the New Science of Brainwaves Reads Minds, Tells Us How We Learn, and Helps Us Change for the Better (BenBella, 2020), eminent neuroscientist R. Douglas Fields surveys the history and current state of scientific understanding about the brain as an electrical organ, and how the electrical activity of the brain relates to cognitive functioning and various clinical conditions. The book begins by documenting some of the fascinating and obscure history of the discovery and early science of electrical brain activity measurements, or ‘brainwaves'. It then goes on to summarize the latest cutting edge research on brainwaves in a wide variety of basic and applied areas of science and medicine - including neuroimaging, neuroplasticity, brain-machine interfaces, artificial intelligence, neurofeedback, brain stimulation therapies, and many others. Electric Brain is a highly accessible, but fact-filled and up-to-date, treatment of one of the most central - and yet still so enigmatic - topics in all of modern science. Dr. R Douglas Fields is Chief of the Nervous System Development and Plasticity Section at the United States National Institutes of Health. He is a world expert on neuron-glia interactions and cellular mechanisms of memory, and is particularly well known for his work on white matter plasticity. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/psychology

In Electric Brain: How the New Science of Brainwaves Reads Minds, Tells Us How We Learn, and Helps Us Change for the Better (BenBella, 2020), eminent neuroscientist R. Douglas Fields surveys the history and current state of scientific understanding about the brain as an electrical organ, and how the electrical activity of the brain relates to cognitive functioning and various clinical conditions. The book begins by documenting some of the fascinating and obscure history of the discovery and early science of electrical brain activity measurements, or ‘brainwaves'. It then goes on to summarize the latest cutting edge research on brainwaves in a wide variety of basic and applied areas of science and medicine - including neuroimaging, neuroplasticity, brain-machine interfaces, artificial intelligence, neurofeedback, brain stimulation therapies, and many others. Electric Brain is a highly accessible, but fact-filled and up-to-date, treatment of one of the most central - and yet still so enigmatic - topics in all of modern science. Dr. R Douglas Fields is Chief of the Nervous System Development and Plasticity Section at the United States National Institutes of Health. He is a world expert on neuron-glia interactions and cellular mechanisms of memory, and is particularly well known for his work on white matter plasticity. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

In Electric Brain: How the New Science of Brainwaves Reads Minds, Tells Us How We Learn, and Helps Us Change for the Better (BenBella, 2020), eminent neuroscientist R. Douglas Fields surveys the history and current state of scientific understanding about the brain as an electrical organ, and how the electrical activity of the brain relates to cognitive functioning and various clinical conditions. The book begins by documenting some of the fascinating and obscure history of the discovery and early science of electrical brain activity measurements, or ‘brainwaves'. It then goes on to summarize the latest cutting edge research on brainwaves in a wide variety of basic and applied areas of science and medicine - including neuroimaging, neuroplasticity, brain-machine interfaces, artificial intelligence, neurofeedback, brain stimulation therapies, and many others. Electric Brain is a highly accessible, but fact-filled and up-to-date, treatment of one of the most central - and yet still so enigmatic - topics in all of modern science. Dr. R Douglas Fields is Chief of the Nervous System Development and Plasticity Section at the United States National Institutes of Health. He is a world expert on neuron-glia interactions and cellular mechanisms of memory, and is particularly well known for his work on white matter plasticity. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/medicine

In Electric Brain: How the New Science of Brainwaves Reads Minds, Tells Us How We Learn, and Helps Us Change for the Better (BenBella, 2020), eminent neuroscientist R. Douglas Fields surveys the history and current state of scientific understanding about the brain as an electrical organ, and how the electrical activity of the brain relates to cognitive functioning and various clinical conditions. The book begins by documenting some of the fascinating and obscure history of the discovery and early science of electrical brain activity measurements, or ‘brainwaves'. It then goes on to summarize the latest cutting edge research on brainwaves in a wide variety of basic and applied areas of science and medicine - including neuroimaging, neuroplasticity, brain-machine interfaces, artificial intelligence, neurofeedback, brain stimulation therapies, and many others. Electric Brain is a highly accessible, but fact-filled and up-to-date, treatment of one of the most central - and yet still so enigmatic - topics in all of modern science. Dr. R Douglas Fields is Chief of the Nervous System Development and Plasticity Section at the United States National Institutes of Health. He is a world expert on neuron-glia interactions and cellular mechanisms of memory, and is particularly well known for his work on white matter plasticity. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science

In Electric Brain: How the New Science of Brainwaves Reads Minds, Tells Us How We Learn, and Helps Us Change for the Better (BenBella, 2020), eminent neuroscientist R. Douglas Fields surveys the history and current state of scientific understanding about the brain as an electrical organ, and how the electrical activity of the brain relates to cognitive functioning and various clinical conditions. The book begins by documenting some of the fascinating and obscure history of the discovery and early science of electrical brain activity measurements, or ‘brainwaves'. It then goes on to summarize the latest cutting edge research on brainwaves in a wide variety of basic and applied areas of science and medicine - including neuroimaging, neuroplasticity, brain-machine interfaces, artificial intelligence, neurofeedback, brain stimulation therapies, and many others. Electric Brain is a highly accessible, but fact-filled and up-to-date, treatment of one of the most central - and yet still so enigmatic - topics in all of modern science. Dr. R Douglas Fields is Chief of the Nervous System Development and Plasticity Section at the United States National Institutes of Health. He is a world expert on neuron-glia interactions and cellular mechanisms of memory, and is particularly well known for his work on white matter plasticity. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

Dr. Christopher Harris (@chrisharris) is a neuroscientist, engineer and educator at the EdTech company Backyard Brains. He is principal investigator on an NIH-funded project to develop brain-based robots for neuroscience education. In their recent open-access research paper, Dr. Harris and his team describe, and present results from, their classroom-based pilots of this new and highly innovative approach to neuroscience and STEM education. They argue that neurorobotics has enormous potential as an education technology, because it combines multiple activities with clear educational benefits including neuroscience, active learning, and robotics. Dr. Harris did his undergraduate degree in Psychology and Philosophy at the University of Warwick, where he developed his life-long love of the brain. For his graduate work at the University of Sussex and subsequent postdoctoral work at the National Institutes of Health he applied electrophysiological, optical and computational techniques to construct cellular-resolution maps of large and diverse neural circuits. He is particularly interested in reward-system, visual system, and central motor pattern generator circuits. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (www.grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/neuroscience

Dr. Christopher Harris (@chrisharris) is a neuroscientist, engineer and educator at the EdTech company Backyard Brains. He is principal investigator on an NIH-funded project to develop brain-based robots for neuroscience education. In their recent open-access research paper, Dr. Harris and his team describe, and present results from, their classroom-based pilots of this new and highly innovative approach to neuroscience and STEM education. They argue that neurorobotics has enormous potential as an education technology, because it combines multiple activities with clear educational benefits including neuroscience, active learning, and robotics. Dr. Harris did his undergraduate degree in Psychology and Philosophy at the University of Warwick, where he developed his life-long love of the brain. For his graduate work at the University of Sussex and subsequent postdoctoral work at the National Institutes of Health he applied electrophysiological, optical and computational techniques to construct cellular-resolution maps of large and diverse neural circuits. He is particularly interested in reward-system, visual system, and central motor pattern generator circuits. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (www.grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices

Dr. Christopher Harris (@chrisharris) is a neuroscientist, engineer and educator at the EdTech company Backyard Brains. He is principal investigator on an NIH-funded project to develop brain-based robots for neuroscience education. In their recent open-access research paper, Dr. Harris and his team describe, and present results from, their classroom-based pilots of this new and highly innovative approach to neuroscience and STEM education. They argue that neurorobotics has enormous potential as an education technology, because it combines multiple activities with clear educational benefits including neuroscience, active learning, and robotics. Dr. Harris did his undergraduate degree in Psychology and Philosophy at the University of Warwick, where he developed his life-long love of the brain. For his graduate work at the University of Sussex and subsequent postdoctoral work at the National Institutes of Health he applied electrophysiological, optical and computational techniques to construct cellular-resolution maps of large and diverse neural circuits. He is particularly interested in reward-system, visual system, and central motor pattern generator circuits. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (www.grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices

Dr. Christopher Harris (@chrisharris) is a neuroscientist, engineer and educator at the EdTech company Backyard Brains. He is principal investigator on an NIH-funded project to develop brain-based robots for neuroscience education. In their recent open-access research paper, Dr. Harris and his team describe, and present results from, their classroom-based pilots of this new and highly innovative approach to neuroscience and STEM education. They argue that neurorobotics has enormous potential as an education technology, because it combines multiple activities with clear educational benefits including neuroscience, active learning, and robotics. Dr. Harris did his undergraduate degree in Psychology and Philosophy at the University of Warwick, where he developed his life-long love of the brain. For his graduate work at the University of Sussex and subsequent postdoctoral work at the National Institutes of Health he applied electrophysiological, optical and computational techniques to construct cellular-resolution maps of large and diverse neural circuits. He is particularly interested in reward-system, visual system, and central motor pattern generator circuits. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (www.grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices

Dr. Christopher Harris (@chrisharris) is a neuroscientist, engineer and educator at the EdTech company Backyard Brains. He is principal investigator on an NIH-funded project to develop brain-based robots for neuroscience education. In their recent open-access research paper, Dr. Harris and his team describe, and present results from, their classroom-based pilots of this new and highly innovative approach to neuroscience and STEM education. They argue that neurorobotics has enormous potential as an education technology, because it combines multiple activities with clear educational benefits including neuroscience, active learning, and robotics. Dr. Harris did his undergraduate degree in Psychology and Philosophy at the University of Warwick, where he developed his life-long love of the brain. For his graduate work at the University of Sussex and subsequent postdoctoral work at the National Institutes of Health he applied electrophysiological, optical and computational techniques to construct cellular-resolution maps of large and diverse neural circuits. He is particularly interested in reward-system, visual system, and central motor pattern generator circuits. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (www.grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/psychology

Psychologists and neuroscientists struggle with how best to interpret human motivation and decision making. The assumption is that below a mental “surface” of conscious awareness lies a deep and complex set of inner beliefs, values, and desires that govern our thoughts, ideas, and actions, and that to know this depth is to know ourselves. In the The Mind Is Flat: The Remarkable Shallowness of the Improvising Brain (Yale UP, 2019), behavioural scientist Nick Chater contends just the opposite: rather than being the plaything of unconscious currents, the brain generates behaviors in the moment based entirely on our past experiences. Engaging the reader with eye-opening experiments and visual examples, Chater first demolishes our intuitive sense of how our mind works, then argues for a positive interpretation of the brain as a ceaseless and creative improviser. Dr. Nick Chater is Professor of behavioral science at the Warwick Business School and cofounder of Decision Technology Ltd. He has contributed to more than two hundred articles and book chapters and is author, co-author, or co-editor of fourteen books. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (www.grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/neuroscience

Psychologists and neuroscientists struggle with how best to interpret human motivation and decision making. The assumption is that below a mental “surface” of conscious awareness lies a deep and complex set of inner beliefs, values, and desires that govern our thoughts, ideas, and actions, and that to know this depth is to know ourselves. In the The Mind Is Flat: The Remarkable Shallowness of the Improvising Brain (Yale UP, 2019), behavioural scientist Nick Chater contends just the opposite: rather than being the plaything of unconscious currents, the brain generates behaviors in the moment based entirely on our past experiences. Engaging the reader with eye-opening experiments and visual examples, Chater first demolishes our intuitive sense of how our mind works, then argues for a positive interpretation of the brain as a ceaseless and creative improviser. Dr. Nick Chater is Professor of behavioral science at the Warwick Business School and cofounder of Decision Technology Ltd. He has contributed to more than two hundred articles and book chapters and is author, co-author, or co-editor of fourteen books. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (www.grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/psychology

Psychologists and neuroscientists struggle with how best to interpret human motivation and decision making. The assumption is that below a mental “surface” of conscious awareness lies a deep and complex set of inner beliefs, values, and desires that govern our thoughts, ideas, and actions, and that to know this depth is to know ourselves. In the The Mind Is Flat: The Remarkable Shallowness of the Improvising Brain (Yale UP, 2019), behavioural scientist Nick Chater contends just the opposite: rather than being the plaything of unconscious currents, the brain generates behaviors in the moment based entirely on our past experiences. Engaging the reader with eye-opening experiments and visual examples, Chater first demolishes our intuitive sense of how our mind works, then argues for a positive interpretation of the brain as a ceaseless and creative improviser. Dr. Nick Chater is Professor of behavioral science at the Warwick Business School and cofounder of Decision Technology Ltd. He has contributed to more than two hundred articles and book chapters and is author, co-author, or co-editor of fourteen books. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (www.grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices

Psychologists and neuroscientists struggle with how best to interpret human motivation and decision making. The assumption is that below a mental “surface” of conscious awareness lies a deep and complex set of inner beliefs, values, and desires that govern our thoughts, ideas, and actions, and that to know this depth is to know ourselves. In the The Mind Is Flat: The Remarkable Shallowness of the Improvising Brain (Yale UP, 2019), behavioural scientist Nick Chater contends just the opposite: rather than being the plaything of unconscious currents, the brain generates behaviors in the moment based entirely on our past experiences. Engaging the reader with eye-opening experiments and visual examples, Chater first demolishes our intuitive sense of how our mind works, then argues for a positive interpretation of the brain as a ceaseless and creative improviser. Dr. Nick Chater is Professor of behavioral science at the Warwick Business School and cofounder of Decision Technology Ltd. He has contributed to more than two hundred articles and book chapters and is author, co-author, or co-editor of fourteen books. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (www.grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices

Psychologists and neuroscientists struggle with how best to interpret human motivation and decision making. The assumption is that below a mental “surface” of conscious awareness lies a deep and complex set of inner beliefs, values, and desires that govern our thoughts, ideas, and actions, and that to know this depth is to know ourselves. In the The Mind Is Flat: The Remarkable Shallowness of the Improvising Brain (Yale UP, 2019), behavioural scientist Nick Chater contends just the opposite: rather than being the plaything of unconscious currents, the brain generates behaviors in the moment based entirely on our past experiences. Engaging the reader with eye-opening experiments and visual examples, Chater first demolishes our intuitive sense of how our mind works, then argues for a positive interpretation of the brain as a ceaseless and creative improviser. Dr. Nick Chater is Professor of behavioral science at the Warwick Business School and cofounder of Decision Technology Ltd. He has contributed to more than two hundred articles and book chapters and is author, co-author, or co-editor of fourteen books. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (www.grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices

In NeuroScience Fiction (Benbella Books, 2020), Rodrigo Quian Quiroga shows how the outlandish premises of many seminal science fiction movies are being made possible by new discoveries and technological advances in neuroscience and related fields. Along the way, he also explores the thorny philosophical problems raised as a result, diving into Minority Report and free will, The Matrix and the illusion of reality, Blade Runner and android emotion, and more. A heady mix of science fiction, neuroscience, and philosophy, NeuroScience Fiction takes us from Vanilla Sky to neural research labs, and from Planet of the Apes to what makes us human. The end result is a sort of bio-technological “Sophie's World for the 21st Century”, and a compelling update on the state of human knowledge through its cultural expressions in film and art. Dr. Rodrigo Quian Quiroga is the director of the Centre for Systems Neuroscience and the Head of Bioengineering at the University of Leicester. His research focuses on the principles of visual perception and memory, and is credited with the discovery of "Concept cells" or "Jennifer Aniston neurons" - neurons in the human brain that play a key role in memory formation. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (www.grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/neuroscience

In NeuroScience Fiction (Benbella Books, 2020), Rodrigo Quian Quiroga shows how the outlandish premises of many seminal science fiction movies are being made possible by new discoveries and technological advances in neuroscience and related fields. Along the way, he also explores the thorny philosophical problems raised as a result, diving into Minority Report and free will, The Matrix and the illusion of reality, Blade Runner and android emotion, and more. A heady mix of science fiction, neuroscience, and philosophy, NeuroScience Fiction takes us from Vanilla Sky to neural research labs, and from Planet of the Apes to what makes us human. The end result is a sort of bio-technological “Sophie's World for the 21st Century”, and a compelling update on the state of human knowledge through its cultural expressions in film and art. Dr. Rodrigo Quian Quiroga is the director of the Centre for Systems Neuroscience and the Head of Bioengineering at the University of Leicester. His research focuses on the principles of visual perception and memory, and is credited with the discovery of "Concept cells" or "Jennifer Aniston neurons" - neurons in the human brain that play a key role in memory formation. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (www.grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/psychology

In NeuroScience Fiction (Benbella Books, 2020), Rodrigo Quian Quiroga shows how the outlandish premises of many seminal science fiction movies are being made possible by new discoveries and technological advances in neuroscience and related fields. Along the way, he also explores the thorny philosophical problems raised as a result, diving into Minority Report and free will, The Matrix and the illusion of reality, Blade Runner and android emotion, and more. A heady mix of science fiction, neuroscience, and philosophy, NeuroScience Fiction takes us from Vanilla Sky to neural research labs, and from Planet of the Apes to what makes us human. The end result is a sort of bio-technological “Sophie’s World for the 21st Century”, and a compelling update on the state of human knowledge through its cultural expressions in film and art. Dr. Rodrigo Quian Quiroga is the director of the Centre for Systems Neuroscience and the Head of Bioengineering at the University of Leicester. His research focuses on the principles of visual perception and memory, and is credited with the discovery of "Concept cells" or "Jennifer Aniston neurons" - neurons in the human brain that play a key role in memory formation. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (www.grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices

In NeuroScience Fiction (Benbella Books, 2020), Rodrigo Quian Quiroga shows how the outlandish premises of many seminal science fiction movies are being made possible by new discoveries and technological advances in neuroscience and related fields. Along the way, he also explores the thorny philosophical problems raised as a result, diving into Minority Report and free will, The Matrix and the illusion of reality, Blade Runner and android emotion, and more. A heady mix of science fiction, neuroscience, and philosophy, NeuroScience Fiction takes us from Vanilla Sky to neural research labs, and from Planet of the Apes to what makes us human. The end result is a sort of bio-technological “Sophie’s World for the 21st Century”, and a compelling update on the state of human knowledge through its cultural expressions in film and art. Dr. Rodrigo Quian Quiroga is the director of the Centre for Systems Neuroscience and the Head of Bioengineering at the University of Leicester. His research focuses on the principles of visual perception and memory, and is credited with the discovery of "Concept cells" or "Jennifer Aniston neurons" - neurons in the human brain that play a key role in memory formation. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (www.grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices

In NeuroScience Fiction (Benbella Books, 2020), Rodrigo Quian Quiroga shows how the outlandish premises of many seminal science fiction movies are being made possible by new discoveries and technological advances in neuroscience and related fields. Along the way, he also explores the thorny philosophical problems raised as a result, diving into Minority Report and free will, The Matrix and the illusion of reality, Blade Runner and android emotion, and more. A heady mix of science fiction, neuroscience, and philosophy, NeuroScience Fiction takes us from Vanilla Sky to neural research labs, and from Planet of the Apes to what makes us human. The end result is a sort of bio-technological “Sophie’s World for the 21st Century”, and a compelling update on the state of human knowledge through its cultural expressions in film and art. Dr. Rodrigo Quian Quiroga is the director of the Centre for Systems Neuroscience and the Head of Bioengineering at the University of Leicester. His research focuses on the principles of visual perception and memory, and is credited with the discovery of "Concept cells" or "Jennifer Aniston neurons" - neurons in the human brain that play a key role in memory formation. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (www.grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices

In NeuroScience Fiction (Benbella Books, 2020), Rodrigo Quian Quiroga shows how the outlandish premises of many seminal science fiction movies are being made possible by new discoveries and technological advances in neuroscience and related fields. Along the way, he also explores the thorny philosophical problems raised as a result, diving into Minority Report and free will, The Matrix and the illusion of reality, Blade Runner and android emotion, and more. A heady mix of science fiction, neuroscience, and philosophy, NeuroScience Fiction takes us from Vanilla Sky to neural research labs, and from Planet of the Apes to what makes us human. The end result is a sort of bio-technological “Sophie’s World for the 21st Century”, and a compelling update on the state of human knowledge through its cultural expressions in film and art. Dr. Rodrigo Quian Quiroga is the director of the Centre for Systems Neuroscience and the Head of Bioengineering at the University of Leicester. His research focuses on the principles of visual perception and memory, and is credited with the discovery of "Concept cells" or "Jennifer Aniston neurons" - neurons in the human brain that play a key role in memory formation. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (www.grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices

In The Brain from Inside Out (Oxford University Press, 2019), György Buzsáki contrasts what he terms the ‘outside-in' and ‘inside-out' perspectives on neuroscientific theory and research methodology. The ‘outside-in' approach, which he sees as dominating thinking in the field at present and in most of recent history, conceptualizes the brain as a passive, information-absorbing, coding device. The ‘inside-out' perspective, which Buzsáki seeks to develop and advocate, sees the brain rather as a device sculpted exquisitely by evolution for the generation and control of action and behaviour. The Brain from Inside Out is a candid and provocative monograph from one of the world's most respected scientists, full of fascinating insights into the history and future of the science of the mind. Dr György Buzsáki is Biggs Professor of Neuroscience at New York University. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/neuroscience

In The Brain from Inside Out (Oxford University Press, 2019), György Buzsáki contrasts what he terms the ‘outside-in' and ‘inside-out' perspectives on neuroscientific theory and research methodology. The ‘outside-in' approach, which he sees as dominating thinking in the field at present and in most of recent history, conceptualizes the brain as a passive, information-absorbing, coding device. The ‘inside-out' perspective, which Buzsáki seeks to develop and advocate, sees the brain rather as a device sculpted exquisitely by evolution for the generation and control of action and behaviour. The Brain from Inside Out is a candid and provocative monograph from one of the world's most respected scientists, full of fascinating insights into the history and future of the science of the mind. Dr György Buzsáki is Biggs Professor of Neuroscience at New York University. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/medicine

In The Brain from Inside Out (Oxford University Press, 2019), György Buzsáki contrasts what he terms the ‘outside-in' and ‘inside-out' perspectives on neuroscientific theory and research methodology. The ‘outside-in' approach, which he sees as dominating thinking in the field at present and in most of recent history, conceptualizes the brain as a passive, information-absorbing, coding device. The ‘inside-out' perspective, which Buzsáki seeks to develop and advocate, sees the brain rather as a device sculpted exquisitely by evolution for the generation and control of action and behaviour. The Brain from Inside Out is a candid and provocative monograph from one of the world's most respected scientists, full of fascinating insights into the history and future of the science of the mind. Dr György Buzsáki is Biggs Professor of Neuroscience at New York University. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/psychology

In The Brain from Inside Out (Oxford University Press, 2019), György Buzsáki contrasts what he terms the ‘outside-in’ and ‘inside-out’ perspectives on neuroscientific theory and research methodology. The ‘outside-in’ approach, which he sees as dominating thinking in the field at present and in most of recent history, conceptualizes the brain as a passive, information-absorbing, coding device. The ‘inside-out’ perspective, which Buzsáki seeks to develop and advocate, sees the brain rather as a device sculpted exquisitely by evolution for the generation and control of action and behaviour. The Brain from Inside Out is a candid and provocative monograph from one of the world’s most respected scientists, full of fascinating insights into the history and future of the science of the mind. Dr György Buzsáki is Biggs Professor of Neuroscience at New York University. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices

In The Brain from Inside Out (Oxford University Press, 2019), György Buzsáki contrasts what he terms the ‘outside-in' and ‘inside-out' perspectives on neuroscientific theory and research methodology. The ‘outside-in' approach, which he sees as dominating thinking in the field at present and in most of recent history, conceptualizes the brain as a passive, information-absorbing, coding device. The ‘inside-out' perspective, which Buzsáki seeks to develop and advocate, sees the brain rather as a device sculpted exquisitely by evolution for the generation and control of action and behaviour. The Brain from Inside Out is a candid and provocative monograph from one of the world's most respected scientists, full of fascinating insights into the history and future of the science of the mind. Dr György Buzsáki is Biggs Professor of Neuroscience at New York University. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness.

In The Brain from Inside Out (Oxford University Press, 2019), György Buzsáki contrasts what he terms the ‘outside-in’ and ‘inside-out’ perspectives on neuroscientific theory and research methodology. The ‘outside-in’ approach, which he sees as dominating thinking in the field at present and in most of recent history, conceptualizes the brain as a passive, information-absorbing, coding device. The ‘inside-out’ perspective, which Buzsáki seeks to develop and advocate, sees the brain rather as a device sculpted exquisitely by evolution for the generation and control of action and behaviour. The Brain from Inside Out is a candid and provocative monograph from one of the world’s most respected scientists, full of fascinating insights into the history and future of the science of the mind. Dr György Buzsáki is Biggs Professor of Neuroscience at New York University. Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness. Learn more about your ad choices. Visit megaphone.fm/adchoices

Sean Hill, Ph.D., joins us to discuss the importance of organizing and sharing data, the role of neuroinformatics in mental health, how scientists need to learn how to fail faster, and so much more!Dr. Sean Hill is the Director of the Krembil Centre for Neuroinformatics, Senior Scientist at the Centre for Addiction and Mental Health (CAMH), and Professor at the University of Toronto. Dr. Hill is a computational neuroscientist with experience in building large-scale computational models of brain circuitry. The Centre collaborates with clinicians and researchers, employing neuroinformatics, artificial intelligence, and multiscale modeling, to develop data-driven definitions of brain disorders, predict patient trajectories, and transform mental health care. Dr. Hill applies large-scale data integration, neuroinformatics, multiscale brain modeling, and machine learning to improve our understanding and treatment of mental health disorders. The Centre’s mandate is to accelerate global collaborations in brain science using the power of big data and brain modeling to fundamentally change how mental illness is understood.Follow Dr. Sean Hill on Twitter! Learn more about the Krembil Centre for Neuroinformatics at CAMH and his previous work at the Blue Brain Project here.This episode of Accidental Intellectual is produced by Bronwyn Lamond, Rachael Lyon, Harrison McNaughtan, Stephanie Morris, Lee Propp, and Ariana Simone. Our theme music is by Alexandra Willet and our branding by Maxwell McNaughtan.To learn more about the Accidental Intellectual podcast and get full show notes and a transcript of this episode, visit our website at www.accidentalintellectual.com.

Pedro Omedas studied computer engineering at Universidad Simón Bolívar in Caracas, Venezuela (2002) and moved to Barcelona, Spain in 2004 to study a Master in Digital Audiovisual Communication and Production at Universidad La Salle – Ramón Llul (2004) and a postgraduate course in Videogames creation and design at Universitat Politècnica de Catalunya (2006). Since 2012 is part of the SPECS research group, first in Universitat Pompeu Fabra and currently part of the Bioengineering Institute of Catalonia (IBEC), a neuroscience group dedicated to studying the mind, brain and behaviour using interactive technologies, Virtual and Augmented reality, robotics and computational and theoretical models. Pedro coordinates the development of software and hardware applications, and he is directly involved in the research areas of Neuroinformatics, Neurorehabilitation, and Education. Since 2016, he also has been supporting the activity of the spinoff company Eodyne Systems, dedicated to the commercialisation of Neuro-rehabilitation systems and education technologies using augmented and virtual reality.

Jorge Quillfeldt (Biofísica, IB-UFRGS e Psychology, McGill) conversa com Patrícia Pelufo Silveira e Carla Dalmaz, do Ludmer Centre for Neuroinformatics and Mental Health do Douglas Hospital (McGill University) em Montreal, Canada (Carla é também do Departamento de Bioquímica da UFRGS), sobre seu trabalho em genética comportamental de transtornos importantes como ansiedade, depressão e comportamento alimentar. Em seu laboratório, imensos bancos de dados que foram coletados ao longo de anos nas mesmas populações de mães e filho(a)s - como é o caso do MAVAN (sigla para projeto "Adversidade Maternal, Vulnerabilidade e Neurodesenvolvimento") - são meticulosamente escrutinados com emprego de ferramentas computacionais e estatísticas de última geração. O que se busca são correlações desconhecidas, ou melhor, complexas interações entre genes e fatores ambientais que permitam predizer quando certos fatores podem levar a determinadas patologias, inclusive na vida adulta. A partir desses mapas de interações, estudos experimentais mais detalhados podem ser desenvolvidos e possíveis alvos terapêuticos antes desconhecidos, descobertos. Produção e edição: Jorge Quillfeldt Créditos da Imagem: Edição sobre imagens de The Guardian (Mario Tama/Getty Images) e University of Southern California (http://igc.ini.usc.edu/genetics/)

After the speaker's talk at the Barcelona Cognition, Brain and Technology Summerschool 2010 at the Universitat Pompeu Fabra, Paul Verschure and Tony Prescott go deeper into the subjects presented.

1st Half: The Neuroscience of App Addiction 2nd Half: Artificial Intelligence from a Neuroscience Perspective  (at 24:45) Apps are designed to grab us and keep us hooked as long as possible, as often as possible. Addictive traits built into the apps manipulate us at a primal biological level -- creating a stimulus/response pattern that can re-program our behaviors over time. The increasing role of Artificial Intelligence will inevitably hand-off some of this addictive-design work, setting up a scenario where we shift from people programming machines, to machines programming humans. Our guest today is Ramsay Brown. Ramsay is a neuroscientist, working at the intersection of the human mind, software design, and artificial intelligence. Ramsay has degrees from USC in Neuroscience and Neuroinformatics, working on projects such as a “Google Maps” for the brain, and new forms of human-mind communication with machines. He’s now the co-founder of Dopamine Labs, a company that uses AI and Neuroscience to increase the addictiveness of apps that reinforce good habits, and to break app addiction where we find it harmful. More at http://www.mindandma

Neuroaesthetics | Symposium Symposium im ZKM | Zentrum für Kunst und Medientechnologie, 22.-24. November 2012 In Kooperation und mit Unterstützung der Gemeinnützigen Hertie-Stiftung. Rising interest in theories of embodiment highlight the need to better understand the relation of action and conscious perception. Specifically, we investigate the concept that the quality of sensory awareness is determined by systematic change of afferent signals resulting from behaviour and knowledge thereof. The feelSpace belt provides qualitatively new sensory signals, relating the orientation of the subject to magnetic north. The resulting transformation laws, linking change of sensory signals and actions by the subject, establish sensorimotor contingencies. The study demonstrates that the signals provided by the feelSpace belt improve behavioural performance, influence physiologic reactions and lead to qualitative changes in perceptual effects. These results provide evidence for a causal role of sensorimotor contingencies in perceptual awareness. In a follow-up we study sensory enhancement in a congenitally blind subject. Consistent with an earlier report improved behavioural performance and perceptual effects could be induced. However, unsupervised training by itself was not sufficient, and explicit instructions and training was necessary to ground the qualitatively new signals and provide associations with the available senses. A unified framework is presented that describes the interaction of sensory and motor systems as an interaction optimizing the predictability of sensory representations in the light of the behavioural repertoire. In summary, the presented experiments argue for a constitutive role of action in the formation of perception, although in some aspects it was dependent on available cognitive resources. Dr. Peter König is Professor of Neurobiopsychology at the University of Os- nabrück and director of the Institute of Cognitive Science. He studied physics and medicine at the University of Bonn. From 1978 to 1994 he was scholarship holder and research assistant at the Max Planck Institute for Brain Research in Frankfurt am Main in the department of neurophysiology, and from 1995 to 1997 Senior Fellow at The Neurosciences Institute in La Jolla, California. This was followed by his Habilitation thesis at the Goethe University Frankfurt and the conferring of the title of private lecturer. From 1997 to 2003 he worked at the Institute of Neuroinformatics at the ETH Zurich as assistant professor. In 2009, he founded WhiteMatter Labs GmbH of which he is the scientific director. Since 2001, he is visiting professor at the Department of Neurophysiology and Pathophysiology of the University Medical Center Hamburg-Eppendorf.