Podcasts about neural systems

Autonomous trucking has long promised a more efficient, scalable future for freight. But making it real requires more than bold ideas—it takes precision, discipline, and a deep understanding of operations.In this episode of Building Better, Brandon Bartneck talks with Dr. Xiaodi Hou, founder and CEO of Bot Auto. They explore how Bot Auto is approaching Level 4 autonomous driving, the importance of cost per mile as a success metric, and what it means to build a lean, high-performing team in a complex industry.Xiaodi shares how his leadership style has evolved, why collaboration is more powerful than competition, and why being realistic—and still optimistic—matters more than hype.About Building Better:Building Better with Brandon Bartneck focuses on the people, products, and companies creating a better tomorrow, often in the transportation and manufacturing sectors. Previously called the Future of Mobility podcast, the show features real, human conversations exploring what leaders and innovators are doing, why and how they're doing it, and what we can learn from their experiences. Topics include manufacturing, production, assembly, autonomous driving, electric vehicles, hydrogen and fuel cells, leadership, and more.About Bot Auto:Bot Auto is a Level 4 autonomous trucking company offering Transportation as a Service (TaaS) through its AI-driven autonomous truck fleet. Founded by Dr. Xiaodi Hou, Bot Auto combines visionary leadership, top-tier engineering talent, and industry expertise to revolutionize the transportation industry. Headquartered in Houston, Texas, the company aims to create lasting impact by expanding transportation capacity, integrating with existing freight networks, and addressing the driver shortage while minimizing disruption.About Xiaodi Hou:Dr. Xiaodi Hou is the Founder and CEO of Bot Auto, and an internationally recognized expert in autonomous vehicles, artificial intelligence, machine learning, and computer vision. He holds a Ph.D. in Computation and Neural Systems from Caltech and a Bachelor's in Computer Science from Shanghai Jiao Tong University. Before founding Bot Auto, he co-founded TuSimple and served as CTO and CEO. His work has been featured in Wired, Forbes, and TechCrunch, and he has spoken at events such as Web Summit and Nvidia's GTC.Key Takeaways:Bot Auto is building for long-term success in autonomous trucking, not short-term hypeCost per mile (CPM) is a better metric than miles per intervention (MPI)Operational execution is critical for scalable autonomyThe tech ecosystem is maturing, but real-world integration still requires nuanceA small, agile team with deep focus can outperform a larger oneIndustry collaboration builds trust and accelerates progressPublic perception and trust are just as important as technical progressChapters:Introduction to Bot Auto and Autonomous TruckingThe Vision Behind Bot AutoUnderstanding the Ecosystem and TechnologyOperational Challenges in Autonomous DrivingOrganizational Structure and Team DynamicsCost Per Mile vs. Miles Per InterventionLeadership Evolution and Industry PerspectiveThe Future of Autonomous DrivingLinks & Resources:Learn more about BOT Auto: Company WebsiteConnect with Xiaodi Hou: LinkedInShow Notes: brandonbartneck.com/buildingbetter/xiaodihouConnect with Building Better:Apple PodcastsSpotifyGoogle Podcasts

Stephen Grossberg is Professor Emeritus of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering at Boston University. He is Wang Professor of Cognitive and Neural Systems & Director of the Center for Adaptive Systems. He is a Cognitive Scientist, Theoretical and Computational Psychologist, Neuroscientist, Mathematician, Biomedical Engineer, and Neuromorphic Technologist. He has published 18 books or journal special issues, over 560 research articles, 7 patents and 100 000+ citations. He has been recognised for the past 50 years as the most important pioneer and current research leader who explains how our brains make our minds. Grossberg is often called the Einstein of the Mind. Lecture Title: "Explainable and Reliable AI and Autonomous Adaptive Intelligence: Deep Learning, Adaptive Resonance, and Models of Perception, Emotion, and Action." Special thanks to Steve for allowing me to share this lecture with the MBS audience. EPISODE LINKS: - Steve's Round 1: https://youtu.be/bcV1eSgByzg - Steve's Round 2: https://youtu.be/gpa0beB18vk - Steve's Website: https://sites.bu.edu/steveg/ - Steve's Books: https://tinyurl.com/2jjvvbcs - Steve's Publications: https://tinyurl.com/4mcr4pbk CONNECT: - Website: https://tevinnaidu.com - Podcast: https://podcasters.spotify.com/pod/show/drtevinnaidu - Twitter: https://twitter.com/drtevinnaidu - Facebook: https://www.facebook.com/drtevinnaidu - Instagram: https://www.instagram.com/drtevinnaidu - LinkedIn: https://www.linkedin.com/in/drtevinnaidu ============================= Disclaimer: The information provided on this channel is for educational purposes only. The content is shared in the spirit of open discourse and does not constitute, nor does it substitute, professional or medical advice. We do not accept any liability for any loss or damage incurred from you acting or not acting as a result of listening/watching any of our contents. You acknowledge that you use the information provided at your own risk. Listeners/viewers are advised to conduct their own research and consult with their own experts in the respective fields.

Alexandra (Sasha) Key | Professor, Marcus Autism Center, Emory University School of Medicine "Building a functional communication system: Does the baby have a say?" For a long time, language development has been framed mainly in the context of nature-nurture interactions. However, research in non-typical development suggests that another critical contributor should be considered. In this talk, I will present findings from neurophysiological studies in infants and children to demonstrate the importance of self-initiated active engagement with spoken communication for supporting more optimal developmental outcomes. Our data will demonstrate that choosing to engage with speech, an indication of social motivation, is an integral part of the previously established associations between the neural systems and the environmental factors contributing to individual differences in language development. Expanding the general conceptual approach to language to include nature-nurture-person will allow us to better understand the sources of variability in functional communication abilities across the full spectrum of developmental outcomes. If you would like to become an AFFILIATE of the Center, please let us know.Follow along with us on Instagram | Threads | Facebook

WATCH: https://youtu.be/UOSXYUcTpDs Stephen Grossberg is Professor Emeritus of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering at Boston University. He is Wang Professor of Cognitive and Neural Systems & Director of the Center for Adaptive Systems. He is a Cognitive Scientist, Theoretical and Computational Psychologist, Neuroscientist, Mathematician, Biomedical Engineer, and Neuromorphic Technologist. He has published 18 books or journal special issues, over 560 research articles, 7 patents and 100 000+ citations. He has been recognised for the past 50 years as the most important pioneer and current research leader who explains how our brains make our minds. Grossberg is often called the Einstein of the Mind. Lecture Title: "Explainable and Reliable AI and Autonomous Adaptive Intelligence: Deep Learning, Adaptive Resonance, and Models of Perception, Emotion, and Action." EPISODE LINKS: - Steve's Round 1: https://youtu.be/bcV1eSgByzg - Steve's Round 2: https://youtu.be/gpa0beB18vk - Steve's Website: https://sites.bu.edu/steveg/ - Steve's Books: https://tinyurl.com/2jjvvbcs - Steve's Publications: https://tinyurl.com/4mcr4pbk CONNECT: - Website: https://tevinnaidu.com - Podcast: https://podcasters.spotify.com/pod/show/drtevinnaidu - Twitter: https://twitter.com/drtevinnaidu - Facebook: https://www.facebook.com/drtevinnaidu - Instagram: https://www.instagram.com/drtevinnaidu - LinkedIn: https://www.linkedin.com/in/drtevinnaidu ============================= Disclaimer: The information provided on this channel is for educational purposes only. The content is shared in the spirit of open discourse and does not constitute, nor does it substitute, professional or medical advice. We do not accept any liability for any loss or damage incurred from you acting or not acting as a result of listening/watching any of our contents. You acknowledge that you use the information provided at your own risk. Listeners/viewers are advised to conduct their own research and consult with their own experts in the respective fields.

This mashup of neuroscience, artificial intelligence and even linguistics and philosophy of mind aims to crack the deep question of what “understanding” is, however un-brain-like its models may be.

This mashup of neuroscience, artificial intelligence and even linguistics and philosophy of mind aims to crack the deep question of what “understanding” is, however un-brain-like its models may be.

Episode 100 of the One Thing Podcast with Dr. Adam Rinde did not disappoint First, some goodies to mention. To order the Jona test we talk about this episode... go to https://jona.health and enter ONETHING100 to receive $100 off the test In this episode I welcome on the CEO of Jona, Leo Grady, PhD and the Director of Business Development and GTM strategy , Jaclyn Kawwas. We are discussing a revolutionary stool microbiome test called Jona that uses AI to analyze gut microbiome data and connect it to health outcomes: Jona, developed an AI system to analyze microbiome data obtained through shotgun metagenomic sequencing. The AI system is able to: 1. Read and interpret existing research on the microbiome 2. Match patterns in an individual's microbiome data to relevant studies. 3. Generate personalized recommendations for dietary changes, lifestyle modifications, and supplements based on an individual's health goals The gut microbiome is highly individualized and influenced by various factors: We highlight how the gut microbiome is highly personalized, with limited overlap between individuals. Factors contributing to microbiome variability include: Diet: Processed foods, artificial sweeteners, emulsifiers, preservatives, fiber intake Lifestyle: Exercise, travel, pet ownership Medications: Antibiotics, chemotherapy, opioids Infections: Salmonella poisoning, C. difficile infection, long COVID, PANDAS/PANS Some highlights to our discussion: We discuss hwo stool testing technology has evolved We discuss metabolomics and how it provides additional insight into gut health: We discuss how the field of microbiome research is rapidly evolving: We discuss personalized recommendations that Jona makes. About our guests: Leo Grady, PhD Leo is internationally recognized for his work to deliver AI in healthcare for 20 years at pioneering bay area startups (HeartFlow), multinational medical companies (Siemens) and, most recently, as CEO of Paige.ai. As CEO of Paige, Leo led the company to become an industry leader, internationally launching groundbreaking products and receiving the first-ever FDA approval for an AI product in pathology. Leo authored two books on AI, over 100 peer-reviewed scientific papers and is an inventor on over 300 patents. Winner of the Edison Patent Award, he was inducted as Fellow in the American Institute for Medical and Biological Engineering. Leo earned a Ph.D. in Cognitive and Neural Systems from BU. Leo is CEO in Residence with Breyer Capital and the Founder and CEO of Jona. Jaclyn Kawwas, MBA Jaclyn has dedicated her career to advancing medical and health technology, striving to combat the growing challenges of chronic illness. During her tenure at Medtronic, she contributed to the design and development of cutting-edge cardiovascular devices, including one that garnered FDA approval for hypertension treatment. Her solutions have earned her multiple patents in cardiovascular disease management. Currently serving as the Head of Business Development and GTM Strategy at Jona, a health tech AI company specializing in the gut microbiome, Jaclyn continues to sit at the intersection of technology and healthcare. Prior to her role at Jona, she held positions in business development and growth strategy at Viz.ai and Thirty Madison which focus on chronic conditions from both a provider and consumer lens. Jaclyn received her B.S.E. in biomedical engineering from the University of Michigan and an MBA in Healthcare Management from The Wharton School at the University of Pennsylvania. She remains committed to leveraging technology to make a positive impact on preventive health and patient care. Show notes available at : https://onethingpod/jona --- Send in a voice message: https://podcasters.spotify.com/pod/show/onethingpod/message Support this podcast: https://podcasters.spotify.com/pod/show/onethingpod/support

------------------Support the channel------------ Patreon: https://www.patreon.com/thedissenter PayPal: paypal.me/thedissenter PayPal Subscription 3 Dollars: https://tinyurl.com/ybn6bg9l PayPal Subscription 5 Dollars: https://tinyurl.com/ycmr9gpz PayPal Subscription 10 Dollars: https://tinyurl.com/y9r3fc9m PayPal Subscription 20 Dollars: https://tinyurl.com/y95uvkao   ------------------Follow me on--------------------- Twitter: https://twitter.com/TheDissenterYT   This show is sponsored by Enlites, Learning & Development done differently. Check the website here: http://enlites.com/   Dr. Stephen Grossberg is Wang Professor of Cognitive and Neural Systems, Professor Emeritus of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering, Founding Chairman of the Department of Cognitive and Neural Systems, and Founder and Director of the Center for Adaptive Systems at Boston University. He is the author of several books, the latest one being Conscious Mind, Resonant Brain: How Each Brain Makes a Mind.   In this episode, we focus on Conscious Mind, Resonant Brain. We start by talking about how physics and psychology split in the approach to the brain; the mind-body problem; and whether our brains are like computers. We talk about perception and awareness, visual illusions and art, how we go from seeing to recognizing and to predicting, the relationship between emotion and cognition, and how we get unified moments of conscious awareness. We discuss the role of the prefrontal cortex, learning, the evolution of the brain, theories of consciousness, and the hard problem of consciousness. We talk about mental disorders, irrational decisions, and the design of AI systems. Finally, we discuss morality and the human condition, the unification of psychology and physics, and potential laws of biology. -- A HUGE THANK YOU TO MY PATRONS/SUPPORTERS: PER HELGE LARSEN, JERRY MULLER, HANS FREDRIK SUNDE, BERNARDO SEIXAS, OLAF ALEX, ADAM KESSEL, MATTHEW WHITINGBIRD, ARNAUD WOLFF, TIM HOLLOSY, HENRIK AHLENIUS, FILIP FORS CONNOLLY, DAN DEMETRIOU, ROBERT WINDHAGER, RUI INACIO, ZOOP, MARCO NEVES, COLIN HOLBROOK, PHIL KAVANAGH, SAMUEL ANDREEFF, FRANCIS FORDE, TIAGO NUNES, FERGAL CUSSEN, HAL HERZOG, NUNO MACHADO, JONATHAN LEIBRANT, JOÃO LINHARES, STANTON T, SAMUEL CORREA, ERIK HAINES, MARK SMITH, JOÃO EIRA, TOM HUMMEL, SARDUS FRANCE, DAVID SLOAN WILSON, YACILA DEZA-ARAUJO, ROMAIN ROCH, DIEGO LONDOÑO CORREA, YANICK PUNTER, CHARLOTTE BLEASE, NICOLE BARBARO, ADAM HUNT, PAWEL OSTASZEWSKI, NELLEKE BAK, GUY MADISON, GARY G HELLMANN, SAIMA AFZAL, ADRIAN JAEGGI, PAULO TOLENTINO, JOÃO BARBOSA, JULIAN PRICE, EDWARD HALL, HEDIN BRØNNER, DOUGLAS FRY, FRANCA BORTOLOTTI, GABRIEL PONS CORTÈS, URSULA LITZCKE, SCOTT, ZACHARY FISH, TIM DUFFY, SUNNY SMITH, JON WISMAN, WILLIAM BUCKNER, PAUL-GEORGE ARNAUD, LUKE GLOWACKI, GEORGIOS THEOPHANOUS, CHRIS WILLIAMSON, PETER WOLOSZYN, DAVID WILLIAMS, DIOGO COSTA, ANTON ERIKSSON, CHARLES MOREY, ALEX CHAU, AMAURI MARTÍNEZ, CORALIE CHEVALLIER, BANGALORE ATHEISTS, LARRY D. LEE JR., OLD HERRINGBONE, MICHAEL BAILEY, DAN SPERBER, ROBERT GRESSIS, IGOR N, JEFF MCMAHAN, JAKE ZUEHL, BARNABAS RADICS, MARK CAMPBELL, TOMAS DAUBNER, LUKE NISSEN, KIMBERLY JOHNSON, JESSICA NOWICKI, LINDA BRANDIN, NIKLAS CARLSSON, GEORGE CHORIATIS, VALENTIN STEINMANN, PER KRAULIS, KATE VON GOELER, ALEXANDER HUBBARD, BR, MASOUD ALIMOHAMMADI, JONAS HERTNER, URSULA GOODENOUGH, DAVID PINSOF, SEAN NELSON, MIKE LAVIGNE, JOS KNECHT, ERIK ENGMAN, LUCY, YHONATAN SHEMESH, MANVIR SINGH, AND PETRA WEIMANN! A SPECIAL THANKS TO MY PRODUCERS, YZAR WEHBE, JIM FRANK, ŁUKASZ STAFINIAK, TOM VANEGDOM, BERNARD HUGUENEY, CURTIS DIXON, BENEDIKT MUELLER, THOMAS TRUMBLE, KATHRINE AND PATRICK TOBIN, JONCARLO MONTENEGRO, AL NICK ORTIZ, AND NICK GOLDEN! AND TO MY EXECUTIVE PRODUCERS, MATTHEW LAVENDER, SERGIU CODREANU, BOGDAN KANIVETS, ROSEY, AND GREGORY HASTINGS!

Welcome to the latest edition of the Mind Gut Conversation Podcast, a place to learn about the latest ideas from thought leaders in the area of optimal health, the science of mind gut microbiome interactions, food and the environment. Today I have the great pleasure to speak to Leo Grady, AI expert and CEO of the microbiome company Jona. Leo earned a Ph.D. in Cognitive and Neural Systems from BU and is the Founder and CEO of Jona and CEO in Residence with Breyer Capital. Leo is internationally recognized for his work to deliver AI in healthcare for 20 years at pioneering bay area startups, multinational medical companies, including Siemens and, most recently, as CEO of Paige.ai. As CEO of Paige, he led the company to become an industry leader, internationally launching groundbreaking products and receiving the first-ever FDA approval for an AI product in pathology. Leo authored two books on AI, over 100 peer-reviewed scientific papers and is an inventor on over 300 patents. Winner of the Edison Patent Award, he was inducted as Fellow in the American Institute for Medical and Biological Engineering. As Founder and CEO of Jona, he has developed a stool microbiome analysis platform which not only uses state of the art analysis approaches to study the structure and function of from individual stool samples, but also provides users with an AI assisted interpretation of the results. Follow Dr. Mayer: https://linktr.ee/emayer

Welcome to the latest edition of the Mind Gut Conversation Podcast, a place to learn about the latest ideas from thought leaders in the area of optimal health, the science of mind gut microbiome interactions, food and the environment. Today I have the great pleasure to speak to Leo Grady, AI expert and CEO of the microbiome company Jona. Leo earned a Ph.D. in Cognitive and Neural Systems from BU and is the Founder and CEO of Jona and CEO in Residence with Breyer Capital. Leo is internationally recognized for his work to deliver AI in healthcare for 20 years at pioneering bay area startups, multinational medical companies, including Siemens and, most recently, as CEO of Paige.ai. As CEO of Paige, he led the company to become an industry leader, internationally launching groundbreaking products and receiving the first-ever FDA approval for an AI product in pathology. Leo authored two books on AI, over 100 peer-reviewed scientific papers and is an inventor on over 300 patents. Winner of the Edison Patent Award, he was inducted as Fellow in the American Institute for Medical and Biological Engineering. As Founder and CEO of Jona, he has developed a stool microbiome analysis platform which not only uses state of the art analysis approaches to study the structure and function of from individual stool samples, but also provides users with an AI assisted interpretation of the results. Follow Dr. Mayer: https://linktr.ee/emayer

Stephen Grossberg is Professor Emeritus of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering at Boston University. He is Wang Professor of Cognitive and Neural Systems & Director of the Center for Adaptive Systems. He is a Cognitive Scientist, Theoretical and Computational Psychologist, Neuroscientist, Mathematician, Biomedical Engineer, and Neuromorphic Technologist. He has published 18 books or journal special issues, over 560 research articles, 7 patents and 100 000+ citations. He has been recognised for the past 50 years as the most important pioneer and current research leader who explains how our brains make our minds. Grossberg is often called the Einstein of the Mind. TIMESTAMPS: (0:00) - Introduction (0:09) - Towards Solving The Hard Problem of Consciousness (7:27) - Entering Neurons & Riding Electrons (16:22) - Science of Brain vs Philosophy of Mind (21:14) - Informational Theories (27:30) - Panpsychist & Quantum Theories of Consciousness (41:50) - Morphogensis & Bioelectric Communication's link to Adaptive Resonance (50:00) - Consciousness vs Cognition (Defining terms) (1:00:17) - Qualia, Intentionality & "Aboutness" of experience (1:06:28) - Eliminative Materialism (1:19:07) - When exaclty does brain become mind? (1:32:30) - How Does Adaptive Resonance Theory (ART) explain Qualia? (1:38:09) - Conscious Mind, Resonant Brain (Steve's Magnum Opus) (1:45:47) - Gale Carpenter's Pioneering Work (With & Without Steve) (1:52:22) - Conclusion EPISODE LINKS: - Steve's Website: https://sites.bu.edu/steveg/ - Steve's Books: https://tinyurl.com/2jjvvbcs - Steve's Publications: https://tinyurl.com/4mcr4pbk - Paper Discussed: https://tinyurl.com/42ywzw8n CONNECT: - Website: https://tevinnaidu.com/ - Podcast: https://podcasters.spotify.com/pod/show/drtevinnaidu - Twitter: https://twitter.com/drtevinnaidu/ - Facebook: https://www.facebook.com/drtevinnaidu - Instagram: https://www.instagram.com/drtevinnaidu/ - LinkedIn: https://www.linkedin.com/in/drtevinnaidu/ ============================= Disclaimer: The information provided on this channel is for educational purposes only. The content is shared in the spirit of open discourse and does not constitute, nor does it substitute, professional or medical advice. We do not accept any liability for any loss or damage incurred from you acting or not acting as a result of listening/watching any of our contents. You acknowledge that you use the information provided at your own risk. Listeners/viewers are advised to conduct their own research and consult with their own experts in the respective fields. #StephenGrossberg #AdaptiveResonanceTheory #Consciousness #MindBodyProblem

In this episode: Dr. Jeremy Lucabaugh, Tom Bradshaw, Christina Walsh, Aaron Helton, Dr. Martha Grajdek, Dr. Matthew Lampe, Nic Krueger, Rich Cruz, LindaAnn Rogers   Visit us https://www.seboc.com/ Follow us on LinkedIn: https://bit.ly/sebocLI Join an open-mic event: https://www.seboc.com/events   References Amat, A. Z., Adiani, D., Tauseef, M., Breen, M., Hunt, S., Swanson, A., & Sarkar, N. (2023). Design of a desktop Virtual Reality-based Collaborative Activities Simulator (ViRCAS) to support teamwork in workplace settings for Autistic adults. IEEE Transactions on Neural Systems and Rehabilitation Engineering.   Chen, Z. (2023). Artificial intelligence-virtual trainer: Innovative didactics aimed at personalized training needs. Journal of the Knowledge Economy, 14(2), 2007-2025.   Rizzo, A., Hartholt, A., Grimani, M., Leeds, A., & Liewer, M. (2014). Virtual reality exposure therapy for combat-related posttraumatic stress disorder. Computer, 47(7), 31-37.   Xie, B., Liu, H., Alghofaili, R., Zhang, Y., Jiang, Y., Lobo, F. D., & Yu, L. F. (2021). A review on virtual reality skill training applications. Frontiers in Virtual Reality, 2, 645153.

Stephen Grossberg is Professor Emeritus of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering at Boston University. He is Wang Professor of Cognitive and Neural Systems & Director of the Center for Adaptive Systems. He is a Cognitive Scientist, Theoretical and Computational Psychologist, Neuroscientist, Mathematician, Biomedical Engineer, and Neuromorphic Technologist. He has published 18 books or journal special issues, over 560 research articles, 7 patents and 100 000+ citations. He has been recognised for the past 50 years as the most important pioneer and current research leader who explains how our brains make our minds. Grossberg is often called the Newton and Einstein of the Mind. EPISODE LINKS: Steve's Website: https://sites.bu.edu/steveg/ Steve's Magnum Opus: https://tinyurl.com/mr4dmzb4 Steve's Books: https://tinyurl.com/2jjvvbcs Steve's Publications: https://tinyurl.com/4mcr4pbk TIMESTAMPS: (0:00) - Introduction (0:32) - Steve's groundbreaking work on the Stability-Plasticity Dilemma & Adaptive Resonance Theory (ART) (10:58) - Steve is "The Newton of the Brain" or "The Einstein of the Mind" (13:53) - Competitive Learning & Catastrophic Forgetting (Learned Expectations) (21:31) - ART explains CLEARS! (Consciousness, Learning, Expectation, Attention, Resonance & Synchrony) (30:17) - ART's Explanatory Power & Predictive Success (37:57) - ART is now a pioneering field in science & mathematics (41:51) - Cognitive Emotional-Motor (CogEM) Model & Adaptive Resonances (45:57) - Explaining & Predicting Mental Disorder with ART (ADHD, Schizophrenia, Alzheimer's, Autism) (54:38) - Surface-Shroud Resonance (Difference between Conscious Seeing & Action) (1:07:18) - Autonomous Adaptive Intelligence (1:15:36) - "Conscious Mind, Resonant Brain: How Each Brain Makes A Mind" Steve's Magnum Opus (1:33:17) - ART on Creativity & Religion (1:44:26) - Recent developments in ART (1:49:41) - Steve's message to future scientists (1:57:58) - Steve's Impressive Legacy (2:15:10) - Conclusion CONNECT: - Website: https://tevinnaidu.com/ - Facebook: https://www.facebook.com/drtevinnaidu - Instagram: https://www.instagram.com/drtevinnaidu/ - Twitter: https://twitter.com/drtevinnaidu/ - LinkedIn: https://www.linkedin.com/in/drtevinnaidu/ For Business Inquiries: info@tevinnaidu.com ============================= ABOUT MIND-BODY SOLUTION: Mind-Body Solution explores the nature of consciousness, reality, free will, morality, mental health, and more. This podcast presents enlightening discourse with the world's leading experts in philosophy, physics, neuroscience, psychology, linguistics, AI, and beyond. It will change the way you think about the mind-body dichotomy by showing just how difficult — intellectually and practically — the mind-body problem is. Join Dr. Tevin Naidu on a quest to conquer the mind-body problem and take one step closer to the mind-body solution. Dr Tevin Naidu is a medical doctor, philosopher & ethicist. He attained his Bachelor of Medicine & Bachelor of Surgery degree from Stellenbosch University, & his Master of Philosophy degree Cum Laude from the University of Pretoria. His academic work focuses on theories of consciousness, computational psychiatry, phenomenological psychopathology, values-based practice, moral luck, addiction, & the philosophy & ethics of science, mind & mental health. ===================== Disclaimer: We do not accept any liability for any loss or damage incurred from you acting or not acting as a result of watching any of our publications. You acknowledge that you use the information provided at your own risk. Do your research. Copyright Notice: This video and audio channel contain dialog, music, and images that are the property of Mind-Body Solution. You are authorised to share the link and channel, and embed this link in your website or others as long as a link back to this channel is provided. © Mind-Body Solution

Support the show to get full episodes and join the Discord community. Check out my free video series about what's missing in AI and Neuroscience My guest today is Andrea Martin, who is the Research Group Leader in the department of Language and Computation in Neural Systems at the Max Plank Institute and the Donders Institute. Andrea is deeply interested in understanding how our biological brains process and represent language. To this end, she is developing a theoretical model of language. The aim of the model is to account for the properties of language, like its structure, its compositionality, its infinite expressibility, while adhering to physiological data we can measure from human brains. Her theoretical model of language, among other things, brings in the idea of low-dimensional manifolds and neural dynamics along those manifolds. We've discussed manifolds a lot on the podcast, but they are a kind of abstract structure in the space of possible neural population activity - the neural dynamics. And that manifold structure defines the range of possible trajectories, or pathways, the neural dynamics can take over time. One of Andrea's ideas is that manifolds might be a way for the brain to combine two properties of how we learn and use language. One of those properties is the statistical regularities found in language - a given word, for example, occurs more often near some words and less often near some other words. This statistical approach is the foundation of how large language models are trained. The other property is the more formal structure of language: how it's arranged and organized in such a way that gives it meaning to us. Perhaps these two properties of language can come together as a single trajectory along a neural manifold. But she has lots of ideas, and we discuss many of them. And of course we discuss large language models, and how Andrea thinks of them with respect to biological cognition. We talk about modeling in general and what models do and don't tell us, and much more. Andrea's website. Twitter: @andrea_e_martin. Related papers A Compositional Neural Architecture for Language An oscillating computational model can track pseudo-rhythmic speech by using linguistic predictions Neural dynamics differentially encode phrases and sentences during spoken language comprehension Hierarchical structure in language and action: A formal comparison Andrea mentions this book: The Geometry of Biological Time.

Timestamps: 1:47 - From the US to Switzerland 10:37 - Teaching girls to code 25:43 - Non-profit & a day job 32:45 - How to spot burnout 50:51 - Rapid fire questions About Lara Riparip: Lara Riparip is the co-founder of and an instructor at GirlsCodeToo, a coding academy for girls striving to breach the gender gap in STEM. She holds an MSc in Neural Systems and Computation from ETH and previously worked as a Staff Research Associate at the University of California. She currently works as a Frontend Software Engineer at Avaloq, a global leader in digital banking solutions. Back in 2020, she co-founded an association called Girls Can Code, but unfortunately due to a lack of strict guidelines the founding team ran into disagreements which led to a separation, and out of this breach the GirlsCodeToo project was born in 2021. They're a non-profit with the goal of motivating young girls across Switzerland to use coding as a way of expressing their creativity, and to inspire more girls to study computer science at a university level. They target 8-18yo and their workshops are held in English, German and/or French and/or Italian. They provide both introductory coding workshops as well as in-depth workshops in specific coding languages or technologies. They also provide workshops to boost confidence and interpersonal skills. The prices they charge, together with donations, crowdfunding and corporate sponsorships allow them to cover their costs. Lara is no stranger to the hardships of running a project on top of your day job, and she has learned how this can lead to burnout. She warns listeners to watch out for telltale signs, like no longer drawing any enjoyment from the activities which used to make you happy. She encourages listeners to schedule time for themselves and time for boredom, as well as quality time with friends and family. Memorable Quotes: "If I could talk to an 8 year old me, I'd tell her to try as many things as possible, even if you suck at first." Don't forget to give us a follow on our Twitter, Instagram, Facebook and Linkedin accounts, so you can always stay up to date with our latest initiatives. That way, there's no excuse for missing out on live shows, weekly give-aways or founders dinners!

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2023.02.14.519204v1?rss=1 Authors: DeRosa, J., Kim, H., Lewis-Peacock, J., Banich, M. Abstract: Recently multi-voxel pattern analysis has verified the removal of information from working memory (WM) via three distinct operations replacement, suppression, or clearing compared to information being maintained (Kim et al., 2020). Univariate analyses and classifier importance maps indicate that some brain regions commonly contribute to these operations. This study aimed to use multivariate approaches to determine whether, within these commonly activated brain regions, each of these operations is being represented in a similar or distinct manner. To do so, we used Leiden community detection to identify brain networks that are characterized by similar multi-voxel patterns of activity with regard to these WM operations. Four networks were identified. The Visual Network shows similar multi-voxel patterns for maintain and replace, which are highly dissimilar from suppress and clear, suggesting this network differentiates whether an item is held in WM or not. The Somatomotor Network shows distinct multi-voxel patterns for clear relative to the other operations, suggesting that this network diff in clearing information from WM. The Default Mode Network has distinct patterns for suppress and clear, also suggesting that clearing information from WM is distinct from suppressing it. The Frontoparietal Control Network displays distinct multi-voxel patterns for each of the four operations, suggesting that this network has high involvement in regulating the flow of information within WM. These results indicate that how information is removed from WM depends on distinct brain networks that each have a particular manner in which their co-activation patterns represent these operations. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

Researchers are endlessly fascinated by questions of consciousness. Ogi Ogas was a Department of Homeland Security fellow at the Department of Cognitive and Neural Systems at Boston University and a research fellow at the Harvard Graduate School of Education. He joins host Krys Boyd to discuss what it means to think and experience emotions and discuss why an even higher form of consciousness might be in our future. His book, co-authored with Sai Gaddam, is called “Journey of the Mind: How Thinking Emerged from Chaos.”

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2022.10.12.511959v1?rss=1 Authors: Souther, M. K., Boateng, B., Kable, J. Abstract: The National Institute of Mental Health launched the Research Domain Criteria (RDoC) initiative to identify common biological mechanisms underlying mental disorders. A central challenge for this approach is to identify reliable biobehavioral paradigms that engage specific neural circuits implicated across psychiatric disorders. Delay discounting paradigms have been proposed as a promising candidate because both excessive and insufficient tendency to discount future rewards have been reported across a wide range of diagnoses. Because delay discounting involves multiple facets of neurocognitive functions, identifying specific neural systems engaged during the task can inform ongoing efforts in clinical neuroscience to link neural patterns to a core symptom dimension. To this end, we conducted a meta-analysis of 72 fMRI studies of delay discounting by common analytic approaches (contrasts) to test the predictions of commonly proposed mechanisms underlying the decision-making process. Despite being widely used in previous studies, comparing impulsive and patient choices did not reveal any reliable clustering of effects. Our results instead revealed that the subjective value, magnitude, and delay contrasts reliably engage the valuation network, with the subjective value contrast eliciting more widespread activation. Furthermore, both the difficulty and task contrasts engage the frontoparietal network. Taken together, our findings suggest that both reward valuation and action selection are important but do not fully explain impulsive versus patient choices. Taken together, these results provide further support that delay discounting task is a promising measure of reward valuation that reliably activates the valuation network. In addition, we discuss implications for analytic strategies for future studies in clinical neuroscience. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

A National Champion of Informatics, Alex holds a degree in Biology and Economics from MIT, and a M.S. and Ph.D. in Computation and Neural Systems and Biology from the California Institute of Technology, where he was awarded the Dean's award for ‘great contributions and outstanding qualities of Leadership and Responsibility'. He has held positions at McKinsey & Co., the Center for Computation, Computers, Information and Mathematics of Sandia National Labs, and Caltech. Alex conceived QLess while standing in line. Prior to starting QLess, Alex was also the founder of a pioneer of search engine marketing technology that has boosted the reach of search engine marketing campaigns by up to 580% while simultaneously reducing their cost per action by up to 78%, the invention factory, a semantic people search engine with machine vision which beat Google and every other search engine tested 3 to 1 or more in results relevance in a blind people search comparison, and the first resume- or file-based search engine. Alex was appointed by the President to serve in the California Institute of Technology's Information Sciences and Technology Board of Advisors. In 2013, Alex was named the Gold Stevie Winner of IT Executive of the Year and Silver Stevie Winner of Innovator of the Year by the International Business Awards. In 2011, Alex was honored as the keynote speaker at LA County's Tech Week, an honor that was previously accorded a Nobel Prize winner, the CEO of Cisco, the CEO of Adobe, the Chairman of Deloitte, and an astronaut. In 2010, Alex was honored as one of “40 under 40″ for the inaugural 40 Under 40 M&A Advisor Recognition Awards. Alex's research on neural coding and artificial intelligence has been published in the world's leading publications such as Nature and Neural Computation.

Welcome to an episode with scientist, inventor, writer, speaker, and entrepreneur, Alex Bäcker. Get Alex's book here: https://amzn.to/3HqNfZu In this episode, Alex spoke about the main ingredients of a successful life and the key to happiness. He discussed why he wrote his book, 101 Clues to a Happy Life, and shared how having children exponentially changed his life and perspective. Alex also elaborated on the role of sunlight in the prevention and treatment of COVID-19 and the potential role of vitamin D. In this conversation, he shared valuable advice related to business, finding business partners and investors, and the practical steps that should be implemented to attain success and happiness. Alex Bäcker is the founder and CEO of QLess and co-founder at Drisit. He holds 11 patents and in 2021 was named among the top 100 MIT alumni in technology. His seminal papers on COVID and sunlight were picked up by the press around the world.  Alex is a National Champion of Informatics and holds a degree in Biology and Economics from MIT, and a M.S. and Ph.D. in Computation and Neural Systems and Biology from the California Institute of Technology, where he was awarded the Dean's Award for “great contributions and outstanding qualities of Leadership and Responsibility.” He has held positions at McKinsey & Co.; the Center for Computation, Computers, Information and Mathematics of Sandia National Labs; and Caltech. Alex devised the idea of QLess while standing in a line. Prior to starting QLess, Alex was also the founder of a pioneer of search engine marketing technology, the invention factory, that has boosted the reach of search engine marketing campaigns by up to 580% while simultaneously reducing their cost per action by up to 78%. It is a semantic people search engine with machine vision, which beat Google and every other search engine tested 3 to 1 or more in results relevance in a blind people search comparison, and the first resume- or file-based search engine. Alex was appointed by the President to serve in the California Institute of Technology's Information Sciences and Technology Board of Advisors. In 2013, Alex was named the Gold Stevie Winner of IT Executive of the Year and Silver Stevie Winner of Innovator of the Year by the International Business Awards. In 2011, Alex was honored as the keynote speaker at LA County's Tech Week, an honor that was previously accorded a Nobel Prize winner, the CEO of Cisco, the CEO of Adobe, the Chairman of Deloitte, and an astronaut. In 2010, Alex was honored as one of “40 under 40” for the inaugural 40 Under 40 M&A Advisor Recognition Awards. Alex's research on neural coding and artificial intelligence has been published in the world's leading publications such as Nature and Neural Computation. Get Alex's book here: 101 Clues to a Happy Life. Alex Bäcker: https://amzn.to/3HqNfZu Enjoying this episode? Get access to sample advanced training episodes here: www.firmsconsulting.com/promo

Welcome to Strategy Skills episode 241, an episode with scientist, inventor, writer, speaker, and entrepreneur, Alex Bäcker. In this episode, Alex spoke about the main ingredients of a successful life and the key to happiness. He discussed why he wrote his book, 101 Clues to a Happy Life, and shared how having children exponentially changed his life and perspective. Alex also elaborated on the role of sunlight in the prevention and treatment of COVID-19 and the potential role of vitamin D. In this conversation, he shared valuable advice related to business, finding business partners and investors, and the practical steps that should be implemented to attain success and happiness. Alex Bäcker is the founder and CEO of QLess and co-founder at Drisit. He holds 11 patents and in 2021 was named among the top 100 MIT alumni in technology. His seminal papers on COVID and sunlight were picked up by the press around the world.  Alex is a National Champion of Informatics and holds a degree in Biology and Economics from MIT, and a M.S. and Ph.D. in Computation and Neural Systems and Biology from the California Institute of Technology, where he was awarded the Dean's Award for “great contributions and outstanding qualities of Leadership and Responsibility.” He has held positions at McKinsey & Co.; the Center for Computation, Computers, Information and Mathematics of Sandia National Labs; and Caltech. Alex devised the idea of QLess while standing in a line. Prior to starting QLess, Alex was also the founder of a pioneer of search engine marketing technology, the invention factory, that has boosted the reach of search engine marketing campaigns by up to 580% while simultaneously reducing their cost per action by up to 78%. It is a semantic people search engine with machine vision, which beat Google and every other search engine tested 3 to 1 or more in results relevance in a blind people search comparison, and the first resume- or file-based search engine. Alex was appointed by the President to serve in the California Institute of Technology's Information Sciences and Technology Board of Advisors. In 2013, Alex was named the Gold Stevie Winner of IT Executive of the Year and Silver Stevie Winner of Innovator of the Year by the International Business Awards. In 2011, Alex was honored as the keynote speaker at LA County's Tech Week, an honor that was previously accorded a Nobel Prize winner, the CEO of Cisco, the CEO of Adobe, the Chairman of Deloitte, and an astronaut. In 2010, Alex was honored as one of “40 under 40” for the inaugural 40 Under 40 M&A Advisor Recognition Awards. Alex's research on neural coding and artificial intelligence has been published in the world's leading publications such as Nature and Neural Computation. Get Alex's book here: 101 Clues to a Happy Life. Alex Bäcker Enjoying this episode? Get access to sample advanced training episodes here: www.firmsconsulting.com/promo

“We have a privileged position. It has always been grand in the thinking that we humans are unique and special. We must look back to see how connected we are. That we are part of a continuum.” Two neuroscientists -- Ogi Ogas and Sai Gaddam -- have teamed up to provide a history of the brain and thinking beings on this earth. What was the planet like three billion years ago? How did oxygen and breathing develop simultaneously and make the planet hospitable? What is a sense of "self" that humans have that others lack? Where did language come from? Using all these fundamental questions as jumping off points, Daniel and his guests take a dive into the origins of thinking beings. The conversation also traces the development of the brain, from the simplest, tiny forms, through worms, fish, birds, dolphins, monkeys, humans, and...? As we look back and place our species on a continuum, where do we, where can we go from here? If you like what we do, please support the show. By making a one-time or recurring donation, you will contribute to us being able to present the highest quality substantive, long-form interviews with the world's most compelling people. Ogi Ogas, PhD, was a Department of Homeland Security Fellow at the Department of Cognitive and Neural Systems at Boston University and a research fellow at the Harvard Graduate School of Education. He coauthored Dark Horse, The End of Average, and Shrinks, which was longlisted for the PEN/E. O. Wilson Literary Science Writing Award. Sai Gaddam PhD, was a postdoctoral fellow in the Center for Adaptive System at Boston University. He coauthored A Billion Wicked Thoughts. He lives in Mumbai.

Neural Systems

Scientists have found that our brains contain what's called ‘grandmother neurons,' which light up when we see a familiar face, like grandmother's face. The discovery was made using functional magnetic resonance imaging (fMRI) that showed a select set of neurons located in the temporal pole of rhesus monkeys lit up each time the monkeys saw photos of their buddies, both monkey and human. The process could help explain how the brain identifies personally familiar faces, and what it could mean in our understanding of Alzheimer's, dementia, and Autism. GUESTS: Winrich Freiwald - Head of the Laboratory of Neural Systems at Rockefeller University. Credited for the discovery of the ‘grandmother neurons.' Dr. Robert Keder - Developmental and Behavioral Pediatrician at Connecticut Children's, and Assistant Professor of Pediatrics, University of Connecticut Brad Duchaine - Chair, Department of Psychological and Brain Sciences at Dartmouth, and co-founder of faceblind.org A.E. Gaupp - West Hartford attorney with prosopagnosia, or face blindness Support the show: http://wnpr.org/donate See omnystudio.com/listener for privacy information.

Scientists have found that our brains contain what's called ‘grandmother neurons,' which light up when we see a familiar face, like grandmother's face. The discovery was made using functional magnetic resonance imaging (fMRI) that showed a select set of neurons located in the temporal pole of rhesus monkeys lit up each time the monkeys saw photos of their buddies, both monkey and human. The process could help explain how the brain identifies personally familiar faces, and what it could mean in our understanding of Alzheimer's, dementia, and Autism. GUESTS: Winrich Freiwald - Head of the Laboratory of Neural Systems at Rockefeller University. Credited for the discovery of the ‘grandmother neurons.' Dr. Robert Keder - Developmental and Behavioral Pediatrician at Connecticut Children's, and Assistant Professor of Pediatrics, University of Connecticut Brad Duchaine - Chair, Department of Psychological and Brain Sciences at Dartmouth, and co-founder of faceblind.org A.E. Gaupp - West Hartford attorney with prosopagnosia, or face blindness Support the show: http://wnpr.org/donate See omnystudio.com/listener for privacy information.

Scientists have found that our brains contain what's called ‘grandmother neurons,' which light up when we see a familiar face, like grandmother's face. The discovery was made using functional magnetic resonance imaging (fMRI) that showed a select set of neurons located in the temporal pole of rhesus monkeys lit up each time the monkeys saw photos of their buddies, both monkey and human. The process could help explain how the brain identifies personally familiar faces, and what it could mean in our understanding of Alzheimer's, dementia, and Autism. GUESTS: Winrich Freiwald - Head of the Laboratory of Neural Systems at Rockefeller University. Credited for the discovery of the ‘grandmother neurons.' Dr. Robert Keder - Developmental and Behavioral Pediatrician at Connecticut Children's, and Assistant Professor of Pediatrics, University of Connecticut Brad Duchaine - Chair, Department of Psychological and Brain Sciences at Dartmouth, and co-founder of faceblind.org A.E. Gaupp - West Hartford attorney with prosopagnosia, or face blindness Support the show: http://wnpr.org/donate See omnystudio.com/listener for privacy information.

Scientists have found that our brains contain what's called ‘grandmother neurons,' which light up when we see a familiar face, like grandmother's face. The discovery was made using functional magnetic resonance imaging (fMRI) that showed a select set of neurons located in the temporal pole of rhesus monkeys lit up each time the monkeys saw photos of their buddies, both monkey and human. The process could help explain how the brain identifies personally familiar faces, and what it could mean in our understanding of Alzheimer's, dementia, and Autism. GUESTS: Winrich Freiwald - Head of the Laboratory of Neural Systems at Rockefeller University. Credited for the discovery of the ‘grandmother neurons.' Dr. Robert Keder - Developmental and Behavioral Pediatrician at Connecticut Children's, and Assistant Professor of Pediatrics, University of Connecticut Brad Duchaine - Chair, Department of Psychological and Brain Sciences at Dartmouth, and co-founder of faceblind.org A.E. Gaupp - West Hartford attorney with prosopagnosia, or face blindness Support the show: http://wnpr.org/donate See omnystudio.com/listener for privacy information.

Transforming the Supply Chain Using AI with Max Versace Max Versace and Joe Lynch talk about transforming the supply chain using AI. Max focuses on making AI more useful in real-world applications, especially in the manufacturing supply chain and industrial industry. About Max Versace Dr. Massimiliano Versace is the CEO and co-founder of Neurala. With decades of experience and research in AI and deep learning techniques, Dr. Versace is now focused on making AI more applicable and useful in real-world applications, specifically in the manufacturing and industrial industry. Prior to co-founding Neurala, Dr. Versace co-founded the Boston University Neuromorphics Lab, and worked with government organizations such as DARPA and NASA to develop AI with the ability to learn in real-time, at the edge, and free of traditional constraints of computational hardware. Dr. Versace has spoken at numerous events, including a keynote at Mobile World Congress Drone Summit, TEDx, NASA, the Pentagon, MIT Tech Review's Future Compute and IMA Sensing Days. His work has been featured in Forbes, CNN, Fortune, MSNBC, the Associated Press, TechCrunch, VentureBeat, and more. He holds several patents and two PhDs: Cognitive and Neural Systems, Boston University; Experimental Psychology, University of Trieste, Italy. About Neurala Neurala is a pioneer in vision AI software. On a mission to make AI more applicable and useful in real-world applications, Neurala helps industrial companies improve their quality inspection process, with technology that dramatically reduces the time, cost and skills required to build and maintain production-quality custom vision AI solutions. Founded in 2006, Neurala's research team invented Lifelong-DNN™ (L-DNN) technology, which lowers the data requirements for AI model development and enables continuous learning in the cloud or at the edge. Neurala is headquartered in Boston, MA with a European subsidiary in Trieste, Italy.  Key Takeaways: Transforming the Supply Chain Using AI Artificial intelligence (AI) is being used to transform the supply chain from incoming materials, through production, quality inspection, packaging, and shipping. Companies are using AI to reduce costs, improve quality, and streamline operations. In the podcast interview, Max explained the basics of artificial intelligence and some applications that are already transforming the supply chain. Application 1: Visual Quality Inspection for Surface Defects. AI can inspect surface to determine defects. This work is difficult and boring for humans so AI can do the job more effectively and efficiently. Application 2: Incoming Materials Quality and Quantity Inspection. AI can be taught to check dozens of factors on incoming parts and materials, which ensures that production quality and quantity targets are met. Application 3: Electronic Component Vision Inspection. For the quality inspection of electronic components, AI solutions for electronic component inspection provides a much lower cost of implementation than traditional Automated optical inspection (AOI) machines so that electronics manufacturers can offer their customers higher quality without high costs. Learn More About Transforming the Supply Chain Using AI Neurala Max Versace LinkedIn The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube

In this episode, we meet Leo Grady, CEO of Paige. Paige is a global leader in AI-based software in pathology with a mission to drive the future of precision medicine. Paige is committed to transforming the diagnostics space by building an industry-leading portfolio of AI-based clinical applications, biomarkers and diagnostics. Paige recently closed a $125 million Series C round, co-led by Casdin Capital, Johnson & Johnson Innovation and KKR, bringing the company's total funding to $220 million since its launch in 2018. Paige has been honored as one of Fierce Medtech's 2020 Fierce 15 companies and a New York Healthcare Innovation: Digital Health 100 Company. Prior to joining Paige, Leo was the Senior Vice President of Engineering at HeartFlow, a medical technology company transforming the way cardiovascular disease is diagnosed and treated. Leo spent his early career at Siemens as a Principal Research Scientist and Line Manager, focusing on applying AI in clinical applications such as in vitro diagnostics. He holds a Ph.D. in Cognitive and Neural Systems from Boston University and a bachelor's from the University of Vermont. In this episode, Leo and I chat about: The founding story of Paige and collaboration with Memorial Sloan Kettering Cancer Center The trends and opportunities for digital innovation in the oncology pathology space, from screening/diagnosis to treatment selection and follow-up / monitoring How Paige's AI technology platform, built on millions of digitized tumor slides, enables pathologists to increase their diagnostic confidence and productivity Leo's reflections on driving change in healthcare

Show Notes(1:57) Carl recalled his undergraduate experience studying Electrical Engineering at Stanford back in the early 90s.(3:58) Carl recalled his graduate experience pursuing Master’s degrees in Computer Science at NYU and King’s College in the late 90s. For his Master's Thesis, he investigated Support Vector Machines with a Bayesian algorithm programmed in C.(6:45) Carl walked over his Ph.D. work in Computation and Neural Systems at CalTech, where he did a thesis on Biophysics of Extracellular Action Potentials.(13:11) Carl provided brief thoughts about his experience working as a business analyst and consultant for HBO during his Ph.D. period.(14:55) Carl went over his rationale behind his decision to move from academic neuroscience to quantitative finance.(19:19) Carl discussed his proudest accomplishments and valuable lessons learned from spending seven years at Morgan Stanley Capital International and rising to a leadership role as Vice President of Risk Modeling.(23:17) Carl uncovered his move to San Francisco to work as a lead data scientist at Sparked back in 2014, which builds a customer success SaaS solution.(27:10) Adding to his move to Zuora in 2015, Carl explained how the subscription business model works in layman terms.(31:44) Carl unpacked the common patterns that he saw from analyzing subscriber churn for companies across industries due to his work on Zuora Analytics.(33:30) Carl shared the process of creating the Subscription Economy Index, Zuora’s landmark index tracking the rapid ascent of the Subscription Economy, and distilled the key trends of the 2020 edition.(39:59) Carl unpacked the three reasons that make churn hard to fight: (1) Churn is hard to predict, (2) Churn is harder to prevent, and (3) Churn requires a multi-team effort (Watch his talks at the 2019 Data Council San Francisco and the 2020 Subscribed Online Conference).(44:46) Carl shared advice for data scientists who want to collaborate more effectively with other functional departments.(46:30) Carl emphasized the importance of creating great customer metrics, which are ratios of basic behavioral metrics to fight churn effectively.(53:49) Carl went over the challenges of writing “Fighting Churn With Data,” which provides a clear overview of churn concepts, along with hands-on tricks and tips developed through years of experience analyzing customer behavior.(55:53) Carl reflected on how his academic background in computational neuroscience contributes to his success as a quant analyst and a data scientist.(59:37) Carl compared his experience living and working across Los Angeles, New York, and San Francisco.(01:02:04) Closing segment.His Contact InfoLinkedInTwitterGitHubGoogle ScholarMediumHis Recommended Resources“Fighting Churn With Data” by Carl GoldKonrad Kording (Professor of Computational Neuroscience at the University of Pennsylvania)Kate Crawford (Distinguished Research Professor in Tech, Culture, and Society at New York University)Cassie Kozyrkov (Chief Decision Scientist at Google)"Freakonomics" by Stephen Dubner and Stephen LevittCarl's other podcast appearancesHere are the discount codes that you can use to purchase "Fighting Churn with Data" with 40% off:fcddcr-6D84fcddcr-4AE7fcddcr-6D9Cfcddcr-30BFfcddcr-9705

Show Notes(1:57) Carl recalled his undergraduate experience studying Electrical Engineering at Stanford back in the early 90s.(3:58) Carl recalled his graduate experience pursuing Master’s degrees in Computer Science at NYU and King’s College in the late 90s. For his Master's Thesis, he investigated Support Vector Machines with a Bayesian algorithm programmed in C.(6:45) Carl walked over his Ph.D. work in Computation and Neural Systems at CalTech, where he did a thesis on Biophysics of Extracellular Action Potentials.(13:11) Carl provided brief thoughts about his experience working as a business analyst and consultant for HBO during his Ph.D. period.(14:55) Carl went over his rationale behind his decision to move from academic neuroscience to quantitative finance.(19:19) Carl discussed his proudest accomplishments and valuable lessons learned from spending seven years at Morgan Stanley Capital International and rising to a leadership role as Vice President of Risk Modeling.(23:17) Carl uncovered his move to San Francisco to work as a lead data scientist at Sparked back in 2014, which builds a customer success SaaS solution.(27:10) Adding to his move to Zuora in 2015, Carl explained how the subscription business model works in layman terms.(31:44) Carl unpacked the common patterns that he saw from analyzing subscriber churn for companies across industries due to his work on Zuora Analytics.(33:30) Carl shared the process of creating the Subscription Economy Index, Zuora’s landmark index tracking the rapid ascent of the Subscription Economy, and distilled the key trends of the 2020 edition.(39:59) Carl unpacked the three reasons that make churn hard to fight: (1) Churn is hard to predict, (2) Churn is harder to prevent, and (3) Churn requires a multi-team effort (Watch his talks at the 2019 Data Council San Francisco and the 2020 Subscribed Online Conference).(44:46) Carl shared advice for data scientists who want to collaborate more effectively with other functional departments.(46:30) Carl emphasized the importance of creating great customer metrics, which are ratios of basic behavioral metrics to fight churn effectively.(53:49) Carl went over the challenges of writing “Fighting Churn With Data,” which provides a clear overview of churn concepts, along with hands-on tricks and tips developed through years of experience analyzing customer behavior.(55:53) Carl reflected on how his academic background in computational neuroscience contributes to his success as a quant analyst and a data scientist.(59:37) Carl compared his experience living and working across Los Angeles, New York, and San Francisco.(01:02:04) Closing segment.His Contact InfoLinkedInTwitterGitHubGoogle ScholarMediumHis Recommended Resources“Fighting Churn With Data” by Carl GoldKonrad Kording (Professor of Computational Neuroscience at the University of Pennsylvania)Kate Crawford (Distinguished Research Professor in Tech, Culture, and Society at New York University)Cassie Kozyrkov (Chief Decision Scientist at Google)"Freakonomics" by Stephen Dubner and Stephen LevittHere are the discount codes that you can use to purchase "Fighting Churn with Data" with 40% off:fcddcr-6D84fcddcr-4AE7fcddcr-6D9Cfcddcr-30BFfcddcr-9705

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.09.16.299370v1?rss=1 Authors: Tuncgenc, B., Koch, C., Herstic, A., Eigsti, I.-M., Mostofsky, S. Abstract: Mimicry facilitates social bonding throughout the lifespan. Mimicry impairments in autism spectrum conditions (ASC) are widely reported, including differentiation of the brain networks associated with its social bonding and learning functions. This study examined associations between volumes of brain regions associated with social bonding versus procedural skill learning, and mimicry of gestures during a naturalistic interaction in ASC and neurotypical (NT) children. Consistent with predictions, results revealed reduced mimicry in ASC relative to the NT children. Mimicry frequency was negatively associated with autism symptom severity. Mimicry was predicted predominantly by the volume of procedural skill learning regions in ASC, and by bonding regions in NT. Further, bonding regions contributed significantly less to mimicry in ASC than in NT, while the contribution of learning regions was not different across groups. These findings suggest that associating mimicry with skill learning, rather than social bonding, may partially explain observed communication difficulties in ASC. Copy rights belong to original authors. Visit the link for more info

We talk with Dr. Steven Lehar about his gestalt theory of perception, the link between matter and consciousness, and why the entire world is inside your head. Warning: do not listen to this unless you're prepared to have you mind blown. Ok...you've been warned. Enjoy!  Dr. Lehar is a PhD Graduate (1994) in Cognitive and Neural Systems. A former Research Fellow in Ophthalmology at Harvard University. He completed his post-doc at Schepens Eye Research Institute - and was a former Professor of Cognitive Psychology at Salem State College.  Dr. Lehar is an independent researcher with a novel theory of mind and brain, inspired by the observed properties of perception. These observations are confirmed by some peculiar anomalies in phenomenal perspective. The implications of these observations are that the foundational assumptions of neuroscience are fundamentally in error, and that an alternative paradigm of neurocomputation will have to be formulated to account for the properties of consciousness and perception.  Find Steve online and learn more about his work at: http://slehar.com/wwwRel/Lehar.html Deyus Life is a show about interesting people and interesting conversations. Have a question or want to be featured on the show? Email deyuspod@gmail.com or visit deyuslifepod.com. We read and respond to EVERY email - including yours.

Bill Press is the Senior Vice President of Engineering at Iterable, a growth marketing platform that enables brands to build stronger relationships with their customers and create lifetime value as a result. He received a Ph.D. in Computation and Neural Systems from Caltech and has over two decades of experience as an engineer and leader in enterprise and on-demand software. Before his current role, Bill was the Senior Vice President of Engineering at Optimizely and created and led the Productivity Cloud at Salesforce. In this episode… When there’s a hierarchy within an organization, people are given titles that often come with perceived expectations. However, the title that a person holds doesn’t automatically mean that that person is a leader. Bill Press, the Senior Vice President of Engineering at Iterable, believes that you can be a leader regardless of your role in an organization—if you adopt the mindset that you have an impact on the overall decisions of your organization. You’ll hear about Bill’s career journey, from graduating with a Ph.D. in Computation and Neural Systems to becoming the SVP of Engineering at Iterable. He also discusses how his Zen practice influences his leadership style and how he deals with the sense of urgency that is so prevalent within the work environment. Additionally, Bill addresses the issue of race, gender, and socioeconomic inclusivity within the tech industry. Join Bill Press, the Senior Vice President of Engineering at Iterable, and Dov Pollack in this episode of the Next Wave Leadership Podcast. Bill discusses his path to leadership, how he defines the role of a leader, and the mentor who impacted his leadership style. He also shares an impactful experience where he received a piece of constructive feedback and provides his own insight into giving effective feedback. Learn more about Bill and his leadership experience in the resources mentioned below.

There has been a lot of hype around the potential for AI in the manufacturing industry, but historically, AI has been too expensive or complex to deploy at scale. But now, with pressure to maintain quality products and keep up with irregular consumer demands with fewer people on the factory floor, new solutions are emerging. With this in mind, Neurala launched VIA (Vision Inspection Automation): new software to help manufacturers ensure quality inspection on the production line while scaling with increasing consumer demands. With less data required and faster training, VIA was created to improve ROI by increasing inspection rates, decreasing human intervention, and allow smaller batches of product to be inspected. It will also enable production facilities to avoid wasted resources by catching defects early while giving manufacturers the flexibility to train and run multiple AI models based on changes in products they produce or levels of consumer demand. Dr. Massimiliano Versace, the co-founder and CEO of Neurala, and the company visionary joins me on Tech Talks Daily. After his pioneering research in brain-inspired computing and deep networks, he continues to inspire and lead the world of autonomous robotics. He has spoken at dozens of events and venues, including TedX, NASA, the Pentagon, GTC, InterDrone, National Labs, Air Force Research Labs, HP, iRobot, Samsung, LG, Qualcomm, Ericsson, BAE Systems, AI World, Mitsubishi, ABB and Accenture, among many others. His work has been featured in TIME, IEEE Spectrum, CNN, MSNBC, The Boston Globe, The Chicago Tribune, Fortune, TechCrunch, Venture Beat, Nasdaq and many other media. Max is a Fulbright scholar, has authored dozens of academic publications, holds several patents and two Ph.Ds: Experimental Psychology, University of Trieste, Italy; Cognitive and Neural Systems, Boston University, USA.

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.08.09.243253v1?rss=1 Authors: He, F., Yang, Y. Abstract: The human nervous system is one of the most complicated systems in nature. The complex nonlinear behaviours have been shown from the single neuron level to the system level. For decades, linear connectivity analysis methods, such as correlation, coherence and Granger causality, have been extensively used to assess the neural connectivities and input-output interconnections in neural systems. Recent studies indicate that these linear methods can only capture a small amount of neural activities and functional relationships, and therefore cannot describe neural behaviours in a precise or complete way. In this review, we highlight recent advances on nonlinear system identification of neural systems, corresponding time and frequency domain analysis, and novel neural connectivity measures based on nonlinear system identification techniques. We argue that nonlinear modelling and analysis are necessary to study neuronal processing and signal transfer in neural systems quantitatively. These approaches can hopefully provide new insights to advance our understanding of neurophysiological mechanisms underlying neural functions. They also have the potential to produce sensitive biomarkers to facilitate the development of precision diagnostic tools for evaluating neurological disorders and the effects of targeted intervention. Copy rights belong to original authors. Visit the link for more info

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.06.08.139618v1?rss=1 Authors: Sayali, C., Badre, D. Abstract: People balance the benefits of cognitive work against the costs of cognitive effort. Models that incorporate prospective estimates of the costs of cognitive effort into decision making require a mechanism by which these costs are learned. However, it remains open what brain systems are important for this learning, particularly when learning is not tied explicitly to a decision about what task to perform. In this fMRI experiment, we parametrically manipulated the level of effort a task requires by increasing task switching frequency across six task contexts. In a scanned learning phase, participants implicitly learned about the task switching frequency in each context. In a subsequent test phase outside the scanner, participants made selections between pairs of these task contexts. Notably, during learning, participants were not aware of this later choice phase. Nonetheless, participants avoided task contexts requiring more task switching. We modeled learning within a reinforcement learning framework, and found that effort expectations that derived from task-switching probability and response time (RT) during learning were the best predictors of later choice behavior. Interestingly, prediction errors (PE) from these two models were differentially associated with separate brain networks during distinct learning epochs. Specifically, PE derived from expected RT was most correlated with the cingulo-opercular network early in learning, whereas PE derived from expected task switching frequency was correlated with the fronto-parietal network late in learning. These observations are discussed in relation to the contribution of cognitive control systems to new task learning and how this may bear on effort-based decisions. Copy rights belong to original authors. Visit the link for more info

In this episode physics professor Brian Blais joins Andrew and Matthew to discuss The Fine Tuning Argument, The Second Law of Thermodynamics, contingency, evidence for the Christian claim of a historical resurrection of Jesus of Nazareth, and other topics found in Justin Brierley's book Unbelievable?: Why After Ten Years of Talking With Atheists, I'm Still a Christian. As you listen, you can decide for yourself whether Christian Apologetics draws appropriate conclusions from the best science of today. And, you will also have a meaningful guide if you read Justin's book. Dr. Blais has a Ph. D. In physics that emphasized computational neuroscience and was the recipient of a three year NSF research grant to study computational neuroscience and the recipient of the Biomedical Research Infrastructure Network (BRIN) grant. He is an active member of many professional organizations including The Geochemical Society and The American Statistical Association. He teaches undergraduate physics at Bryant University and is a research professor at The Institute for Brain and Neural Systems at Brown University. Brian has written extensively on Bayesian Probability and is currently writing a book about Bayesian Analysis that is geared toward readers with a less mathematical background but nevertheless have interest in understanding probability. He also listens to and regularly blogs concerning topics covered on Unbelievable?. To read more from Professor Blais, including the topics discussed in this episode, visit his blog: https://bblais.github.io For Justin Brierley's book visit: https://www.amazon.com/Unbelievable-After-Talking-Atheists-Christian/dp/0281077983/ref=sr_1_5?keywords=unbelievable&qid=1558145223&s=gateway&sr=8-5 At the end of the show, we promised a link to The Shawn Carroll William Lane Craig debate. Visit this YouTube page to watch their debate: https://www.youtube.com/watch?v=X0qKZqPy9T8 --- Send in a voice message: https://anchor.fm/still-unbelievable/message

Episode 30 of the CS@Manchester podcast features an interview with Prof Angelo Cangelosi. Angelo Cangelosi is Professor of Machine Learning and Robotics at the University of Manchester (UK). He also is Turing Fellow at the Alan Turing Institute. Previously Angelo was Professor of Artificial Intelligence and Cognition, and founding director, at the Centre for Robotics and Neural Systems at Plymouth University (UK). Cangelosi studied psychology and cognitive science at the Universities of Rome La Sapienza and at the University of Genoa, and was visiting scholar at the University of California San Diego and the University of Southampton. Cangelosi's main research expertise is on language grounding and embodiment in humanoid robots, developmental robotics, human-robot interaction, and on the application of neuromorphic systems for robot learning. We catch up with Angelo and ask him about moving to Manchester, his research areas and also the future of AI and Robotic learning. Here's a recent talk from Angelo on Developmental Robotics https://www.youtube.com/watch?v=yXdPLnfB1Xs

Testosterone is having a moment these days. T-boosting has grown into a $2.5 billion industry, with guys of all ages trying to up their T levels in hopes of increasing everything from libido to mood to energy. But what does testosterone do how about our cognitive processes? Could testosterone increase how quickly and automatically we make decisions about sexual situations, and could that lack of deliberation have a dark side that contributes to sexual assault and harassment? These are some of the questions that our guest, Dr. Gideon Nave from the U Penn Business School, attempted to answer for us in episode #55, based on several of his studies on how testosterone affects men’s reasoning and decision making processes in areas relevant to the last of the 5 Fs of basic, instinctive behaviors: fight, flight, freeze, feed, and, um, fornicate At the end of the episode we also briefly touch on yet another neurotransmitter that has received a lot of media attention over the past decade: oxytocin. Hailed as the “love hormone,” the “cuddle hormone,” or “liquid trust,” oxytocin is supposed to increase intimacy and trust, not just between romantic or sexual partners, but also among complete strangers. This story about oxytocin sounds awesome and we’d all love to believe in it, but does it stand up to scientific scrutiny? Dr. Nave’s recent review of the research suggests we should be a bit more skeptical. If you’d like to read the studies discussed in this episode, here they are: on https://www.ncbi.nlm.nih.gov/pubmed/28771393 (T and cognitive reflectio)n, on https://www.nature.com/articles/s41467-018-04923-0 (T and status goods), and on https://journals.sagepub.com/doi/abs/10.1177/1745691615600138 (oxytocin & trust). About our Guest https://scienceofsexpodcast.com/wp-content/uploads/2019/01/gidi.jpeg () Gideon Nave is a marketing assistant professor at The Wharton School of the University of Pennsylvania. He got his PhD in Computation and Neural Systems at Caltech, how the mind works. His research uses a medley of quantitative and experimental methods from the fields of Computational Neuroscience, Cognitive Psychology, Game Theory and Machine Learning for reverse-engineering the decision-making process in humans. You can visit his website http://gidinave.com (here). You’ve Had the Same Number of “Romantic Partners” as Your Mom A 2018 study out of Ohio State University looked at more than 7,000 mothers and their children, and they found an unexpected connection:  The number of, quote, “romantic partners” you’ve had is probably right around the same number your mom had.  And that’s true even if you never witnessed her in most of those relationships. The researchers say it’s probably because our mothers pass on relationship skills to us, which influences how we interact with everyone . . . including people in our dating life. It could be genes, too, but then you’d expect dad’s romantic history to matter as well. Yet, oddly enough, the researchers found no connection between a father’s number of romantic partners and his kids’ number. You can read more about the study https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0205732 (here). Monogamy: Is It for Everyone? Are you in NYC on Tuesday, Feb 12? Interested in learning more about the pros and cons of monogamy vs nonmonogamy, and which one might be right for you? Come grab some drinks and see Dr. Zhana discuss this (and more) for her first live Think & Drink NYC event of the year, at Bar Subject on the Lower East Side. More info and tickets https://www.drove.com/campaign/5c3a5bab73df490001c377ca (here). Before Next Time… Remember to like The Science of Sex Podcast on https://www.facebook.com/ScienceofSexPodcast/ (Facebook), https://twitter.com/ScienceofSexPod (Twitter), and...

Christopher Stare is the last one in our series of guests from the Libertarian party, he is a candidate for the California State Assembly representing District 51, running in the General elections on November 6.. He has a PhD in Cognition and Neural Systems from the University of Arizona, and has done research on the biological bases of learning, memory, and sleep. Enjoy!

Konuşmacımızın Özgeçmişi: CURRENT AND PREVIOUS POSITIONS Since 2017 Professor, Kavli Institute for Systems neuroscience, NTNU, Trondheim, Norway Since 2017 Director of the NTNU Master program in Neuroscience 2015 - 2017 Associate Professor, Kavli Institute for Systems neuroscience, NTNU, Trondheim, Norway 2011- 2016 Assistant Professor, Faculty of Medicine, Dept. of Neurophysiology, KULeuven, Belgium 2010 -2016 Group Leader, Neuroelectronics Research Flanders, VIB, Belgium 2013 -2014 Interim Department Director, Neuroelectronics Research Flanders, VIB, Belgium 2007- 2010 Post-doctoral Researcher, Harvard Medical School, Department of Neurobiology, USA EDUCATION 2003-2007 PhD. University of Heidelberg, Max Planck Institute for Medical Research, Germany 2001-2003 M.Sc. University of Heidelberg, Max Planck Institute for Medical Research, Germany 1996-2001 B.Sc. Dept. of Molecular Biology & Genetics, Middle East Technical University, Turkey FELLOWSHIPS, AWARDS and GRANTS 2016 Mid-Norway regional health authorities research grant 2015 Norwegian research council FRIPRO BIOMED research grant 2015 Association for Chemoreception Sciences (AChemS) Young investigator award 2015 2014 Selected for FENS/Kavli Network of Excellence 2014 Federation of European Neuroscience Young Investigator Prize 2014 2013 European Research Commission (ERC) starting investigator grant. 2008-2010: Human Frontiers Science Program, Long-term Postdoctoral Fellowship, USA 2006 Marine Biological Laboratories, Neural Systems & Behavior Summer Course, USA 2003-2006 Boehringer Ingelheim Fonds Fellowship, Heidelberg, Germany 2002-2003 Scholarship of Max Planck Society, Heidelberg, Germany 2001-2002 Msc Scholarship of DAAD (German Academic Exchange Service), Germany 1996-2001 Scholarship of TUBITAK (Turkish Science & Technology Association), Turkey

On this episode, I am joined by Dr. Tracy Teal, the Executive Director of Data Carpentry and Adjunct Professor in the BEACON Center for the Study of Evolution in Action at Michigan State University. Her research background in is microbial ecology and bioinformatics, and she has been a developer and contributor to several open source bioinformatics projects. Tracy has a Ph.D. in Computation and Neural Systems from Cal Tech; a Master’s Degree from UCLA in Organismal Biology, Ecology, and Evolution; and a Bachelor’s from UCLA in Cybernetics. Segment 1: Data Carpentry [00:00-09:56] In this first segment, Tracy shares about the mission of Data Carpentry and how the organization came to be. Segment 2: Helping Researchers Develop New Skills [09:57- 21:44] In segment two, Tracy talks about some of the specific skills in the Data Carpentry curriculum and how workshops are created. Segment 3: The Community of Data Carpentry [21:45-33:20] In segment three, Tracy shares more about the Data Carpentry instructors and how the organization is working to create a researcher community. Bonus Clip #1: What's Next for Data Carpentry? [00:00-03:10] Bonus Clip #2: Logistics of Collaborative Lesson Development [00:00-02:30] To share feedback about this podcast episode, ask questions that could be featured in a future episode, or to share research-related resources, contact the “Research in Action” podcast: Twitter: @RIA_podcast or #RIA_podcast Email: riapodcast@oregonstate.edu Voicemail: 541-737-1111 If you listen to the podcast via iTunes, please consider leaving us a review.

Callum Duncan, neurologist at Aberdeen Royal Infirmary, convenes a round table of experts to discuss advances in headache, particularly the pathophysiological understanding of cluster headache, managing cluster headache and migraine, and new onset chronic daily headache.Taking part are:Phillip Holland, postdoctoral researcher, Centre for Cognitive and Neural Systems, University of EdinburghManjit Matharu, clinical lead of the Headache Group at The National Hospital for Neurology and Neurosurgery, LondonAlok Tyagi, neurologist, Southern General Hospital, GlasgowThis podcast is one of a series produced in collaboration with the Association of British Neurologists, of which there will be more to come over the next few months. You can find all the podcasts in the series here: soundcloud.com/tags/abn%202013

Neuroaesthetics | Symposium Symposium im ZKM | Zentrum für Kunst und Medientechnologie, 22.-24. November 2012 In Kooperation und mit Unterstützung der Gemeinnützigen Hertie-Stiftung. “Qualia” to some refers to the absolute, unique quality of a conscious sensory experience, which may not be “explained away” by neurophysiology. Whereas we do not endorse to the qualia as a “hard” (that is impossible in principle) problem for science, we still agree that the current sensory sciences fail to critically characterize such unique quality of sensory experiences. We aim to find insights in the latest progresses of sensory substitution. The “vOICe” is one of such devices translating visual into auditory inputs for blind people. There are some superusers who claim “visual” experiences. Moreover, some of them showed neural activity in the visual cortical areas in fMRI, when engaged in a variety of tasks relying on this type of device. Our strategy is to come up with a brief list of psychophysical and neuroscientific criteria for “vision-like” processing, and to search for empirical evidence, including (1) cortical mapping of space via the device, (2) accomplishment of perceptual constancy, and (3) intrinsic (synesthesia-like) crossmodal mapping. The results suggest that “qualia”, if one still wants to use such a word, should be understood with regard to adaptive behavior. Moreover, what such training/experience accomplishes should be characterized best as the third kind of “qualia”. Enrichment of sensory experiences due to intrinsic and associative mapping provides scientists and artists with ample opportunities. Prof. Dr. Shinsuke Shimojo is an experimental psychologist/cognitive neuroscientist, with long-standing interests in visual psychophysics and their applications to visual illusions, cross-modal plasticity, human emotion, preferences, and decision-making. He received his B.A. and M.A. degrees from the University of Tokyo (1978, 1980), and his Ph.D. from the Massachusetts Institute of Technology (1985). He is currently Gertrude Baltimore Professor in Experimental Psychology in the division of Biology/Computation and Neural Systems at the California Institute of Technology. His laboratory at Caltech has been applying quantitative psychophysical techniques to understand human implicit perception and social behaviors, with applications of eye tracking, fMRI, EEG, TMS and tDCS, and other techniques. He has approximately 150 publications, including multiple papers in high-impact journals, such as Nature, Science, Nature Neuro-science, and Neuron. He is also known for his collaborations with artists, and a science column (ASAHI WEBRONZA).

Enhanced Video PodcastAired date: 10/30/2006 12:00:00 PM Eastern Time

Enhanced Video PodcastAired date: 10/30/2006 12:00:00 PM Eastern Time Institute: NINDS

Enhanced Audio PodcastAired date: 10/30/2006 12:00:00 PM Eastern Time Institute: NINDS

Enhanced Audio PodcastAired date: 10/30/2006 12:00:00 PM Eastern Time