Steve Grossberg's guest appearances

Steve Grossberg

Brain Inspired

Philosophica

Chris Eliasmith

Jane Wang

Dileep George

Matt Smith

Rodrigo Quian Quiroga

Pieter Roelfsema

David Poeppel

Daeyeol Lee

Hakwan Lau

Ken Stanley

John Krakauer

Russ Poldrack

Romain Brette

Carsen Stringer

Arlie Hochschild

OwlTail

Support the show to get full episodes and join the Discord community.  Steve and I discuss his book Conscious Mind, Resonant Brain: How Each Brain Makes a Mind.  The book is a huge collection of his models and their predictions and explanations for a wide array of cognitive brain functions. Many of the models spring from his Adaptive Resonance Theory (ART) framework, which explains how networks of neurons deal with changing environments while maintaining self-organization and retaining learned knowledge. ART led Steve to the hypothesis that all conscious states are resonant states, which we discuss. There are also guest questions from György Buzsáki, Jay McClelland, and John Krakauer. Steve's BU website.Conscious Mind, Resonant Brain: How Each Brain Makes a MindPrevious Brain Inspired episode:BI 082 Steve Grossberg: Adaptive Resonance Theory 0:00 - Intro2:38 - Conscious Mind, Resonant Brain11:49 - Theoretical method15:54 - ART, learning, and consciousness22:58 - Conscious vs. unconscious resonance26:56 - Györy Buzsáki question30:04 - Remaining mysteries in visual system35:16 - John Krakauer question39:12 - Jay McClelland question51:34 - Any missing principles to explain human cognition?1:00:16 - Importance of an early good career start1:06:50 - Has modeling training caught up to experiment training?1:17:12 - Universal development code

<a href="https://www.patreon.com/braininspired" rel="nofollow" target="_blank">Support the show</a> to get full episodes and join the Discord community. <a href="https://www.patreon.com/braininspired" rel="nofollow" target="_blank"></a> Steve and I discuss his book <a href="https://www.amazon.com/gp/product/B094W6BBKN/ref=as_li_qf_asin_il_tl?ie=UTF8&amp;tag=pmiddlebroo09-20&amp;creative=9325&amp;linkCode=as2&amp;creativeASIN=B094W6BBKN&amp;linkId=edb32e098e6dba02c0471d73d8b39e64" rel="nofollow" target="_blank">Conscious Mind, Resonant Brain: How Each Brain Makes a Mind</a>.  The book is a huge collection of his models and their predictions and explanations for a wide array of cognitive brain functions. Many of the models spring from his Adaptive Resonance Theory (ART) framework, which explains how networks of neurons deal with changing environments while maintaining self-organization and retaining learned knowledge. ART led Steve to the hypothesis that all conscious states are resonant states, which we discuss. There are also guest questions from <a href="https://braininspired.co/podcast/84/" rel="nofollow" target="_blank">György Buzsáki</a>, <a href="https://braininspired.co/podcast/30/" rel="nofollow" target="_blank">Jay McClelland</a>, and <a href="https://braininspired.co/podcast/113/" rel="nofollow" target="_blank">John Krakauer</a>. <ul><li>Steve's <a href="https://sites.bu.edu/steveg/" rel="nofollow" target="_blank">BU website</a>.</li><li><a href="https://www.amazon.com/gp/product/B094W6BBKN/ref=as_li_qf_asin_il_tl?ie=UTF8&amp;tag=pmiddlebroo09-20&amp;creative=9325&amp;linkCode=as2&amp;creativeASIN=B094W6BBKN&amp;linkId=edb32e098e6dba02c0471d73d8b39e64" rel="nofollow" target="_blank">Conscious Mind, Resonant Brain: How Each Brain Makes a Mind</a></li><li>Previous Brain Inspired episode:<ul><li><a href="https://braininspired.co/podcast/82/" rel="nofollow" target="_blank">BI 082 Steve Grossberg: Adaptive Resonance Theory</a></li></ul></li></ul> 0:00 - Intro 2:38 - Conscious Mind, Resonant Brain 11:49 - Theoretical method 15:54 - ART, learning, and consciousness 22:58 - Conscious vs. unconscious resonance 26:56 - Györy Buzsáki question 30:04 - Remaining mysteries in visual system 35:16 - John Krakauer question 39:12 - Jay McClelland question 51:34 - Any missing principles to explain human cognition? 1:00:16 - Importance of an early good career start 1:06:50 - Has modeling training caught up to experiment training? 1:17:12 - Universal development code

BI 115 Steve Grossberg: Conscious Mind, Resonant Brain

Podcast: Brain InspiredEpisode: BI 082 Steve Grossberg: Adaptive Resonance TheoryPub date: 2020-08-26 Steve and I discuss his long and productive career as a theoretical neuroscientist. We cover his tried and true method of taking a large body of psychological behavioral findings, determining how they fit together and what’s paradoxical about them, developing design principles, theories, and models from that body of data, and using experimental neuroscience to inform and confirm his model predictions. We talk about his Adaptive Resonance Theory (ART) to describe how our brains are self-organizing, adaptive, and deal with changing environments. We also talk about his complementary computing paradigm to describe how two systems can complement each other to create emergent properties neither system can create on its own , how the resonant states in ART support consciousness, his place in the history of both neuroscience and AI, and quite a bit more. Related: Steve’s BU website.Some papers we discuss or mention (much more on his website):Adaptive Resonance Theory: How a brain learns to consciously attend, learn, and recognize a changing world.Towards solving the Hard Problem of Consciousness: The varieties of brain resonances and the conscious experiences that they support.A Path Toward Explainable AI and Autonomous Adaptive Intelligence: Deep Learning, Adaptive Resonance, and Models of Perception, Emotion, and Action. Topics Time stamps: 0:00 – Intro5:48 – Skip Intro9:42 – Beginnings18:40 – Modeling method44:05 – Physics vs. neuroscience54:50 – Historical credit for Hopfield network1:03:40 – Steve’s upcoming book1:08:24 – Being shy1:11:21 – Stability plasticity dilemma1:14:10 – Adaptive resonance theory1:18:25 – ART matching rule1:21:35 – Consciousness as resonance1:29:15 – Complementary computing1:38:58 – Vigilance to re-orient1:54:58 – Deep learning vs. ART  The podcast and artwork embedded on this page are from Paul Middlebrooks, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

Podcast: <a href="https://www.listennotes.com/podcasts/brain-inspired-paul-middlebrooks-e1D82rMKZyp/" rel="nofollow" target="_blank">Brain Inspired</a> Episode: <a href="https://www.listennotes.com/e/23081b2cd5ee4558ab9976cee38abbbc/" rel="nofollow" target="_blank">BI 082 Steve Grossberg: Adaptive Resonance Theory</a> Pub date: 2020-08-26 <a href="https://www.patreon.com/braininspired" rel="noopener noreferrer nofollow" target="_blank"></a> Steve and I discuss his long and productive career as a theoretical neuroscientist. We cover his tried and true method of taking a large body of psychological behavioral findings, determining how they fit together and what’s paradoxical about them, developing design principles, theories, and models from that body of data, and using experimental neuroscience to inform and confirm his model predictions. We talk about his Adaptive Resonance Theory (ART) to describe how our brains are self-organizing, adaptive, and deal with changing environments. We also talk about his complementary computing paradigm to describe how two systems can complement each other to create emergent properties neither system can create on its own , how the resonant states in ART support consciousness, his place in the history of both neuroscience and AI, and quite a bit more. Related: <ul><li>Steve’s <a href="https://sites.bu.edu/steveg/" rel="nofollow" target="_blank">BU website</a>.</li><li>Some papers we discuss or mention (much more on his website):<ul><li><a href="https://sites.bu.edu/steveg/files/2016/06/ART.pdf" rel="nofollow" target="_blank">Adaptive Resonance Theory: How a brain learns to consciously attend, learn, and recognize a changing world</a>.</li><li><a href="http://www.sciencedirect.com/science/article/pii/S0893608016301800" rel="nofollow" target="_blank">Towards solving the Hard Problem of Consciousness: The varieties of brain resonances and the conscious experiences that they support</a>.</li><li><a href="https://doi.org/10.3389/fnbot.2020.00036%20" rel="nofollow" target="_blank">A Path Toward Explainable AI and Autonomous Adaptive Intelligence: Deep Learning, Adaptive Resonance, and Models of Perception, Emotion, and Action</a>.</li></ul></li></ul> Topics Time stamps: 0:00 – Intro 5:48 – Skip Intro 9:42 – Beginnings 18:40 – Modeling method 44:05 – Physics vs. neuroscience 54:50 – Historical credit for Hopfield network 1:03:40 – Steve’s upcoming book 1:08:24 – Being shy 1:11:21 – Stability plasticity dilemma 1:14:10 – Adaptive resonance theory 1:18:25 – ART matching rule 1:21:35 – Consciousness as resonance 1:29:15 – Complementary computing 1:38:58 – Vigilance to re-orient 1:54:58 – Deep learning vs. ART The podcast and artwork embedded on this page are from Paul Middlebrooks, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

BI 082 Steve Grossberg: Adaptive Resonance Theory

Steve and I discuss his long and productive career as a theoretical neuroscientist. We cover his tried and true method of taking a large body of psychological behavioral findings, determining how they fit together and what’s paradoxical about them, developing design principles, theories, and models from that body of data, and using experimental neuroscience to inform and confirm his model predictions. We talk about his Adaptive Resonance Theory (ART) to describe how our brains are self-organizing, adaptive, and deal with changing environments. We also talk about his complementary computing paradigm to describe how two systems can complement each other to create emergent properties neither system can create on its own , how the resonant states in ART support consciousness, his place in the history of both neuroscience and AI, and quite a bit more. Related: Steve's BU website.Some papers we discuss or mention (much more on his website):Adaptive Resonance Theory: How a brain learns to consciously attend, learn, and recognize a changing world.Towards solving the Hard Problem of Consciousness: The varieties of brain resonances and the conscious experiences that they support.A Path Toward Explainable AI and Autonomous Adaptive Intelligence: Deep Learning, Adaptive Resonance, and Models of Perception, Emotion, and Action. Topics Time stamps: 0:00 - Intro5:48 - Skip Intro9:42 - Beginnings18:40 - Modeling method44:05 - Physics vs. neuroscience54:50 - Historical credit for Hopfield network1:03:40 - Steve's upcoming book1:08:24 - Being shy1:11:21 - Stability plasticity dilemma1:14:10 - Adaptive resonance theory1:18:25 - ART matching rule1:21:35 - Consciousness as resonance1:29:15 - Complementary computing1:38:58 - Vigilance to re-orient1:54:58 - Deep learning vs. ART

Steve and I discuss his long and productive career as a theoretical neuroscientist. We cover his tried and true method of taking a large body of psychological behavioral findings, determining how they fit together and what’s paradoxical about them, developing design principles, theories, and models from that body of data, and using experimental neuroscience to inform and confirm his model predictions. We talk about his Adaptive Resonance Theory (ART) to describe how our brains are self-organizing, adaptive, and deal with changing environments. We also talk about his complementary computing paradigm to describe how two systems can complement each other to create emergent properties neither system can create on its own , how the resonant states in ART support consciousness, his place in the history of both neuroscience and AI, and quite a bit more. Related: <ul><li>Steve's <a href="https://sites.bu.edu/steveg/" rel="nofollow" target="_blank">BU website</a>.</li><li>Some papers we discuss or mention (much more on his website):<ul><li><a href="https://sites.bu.edu/steveg/files/2016/06/ART.pdf" rel="nofollow" target="_blank">Adaptive Resonance Theory: How a brain learns to consciously attend, learn, and recognize a changing world</a>.</li><li><a href="http://www.sciencedirect.com/science/article/pii/S0893608016301800" rel="nofollow" target="_blank">Towards solving the Hard Problem of Consciousness: The varieties of brain resonances and the conscious experiences that they support</a>.</li><li><a href="https://doi.org/10.3389/fnbot.2020.00036%20" rel="nofollow" target="_blank">A Path Toward Explainable AI and Autonomous Adaptive Intelligence: Deep Learning, Adaptive Resonance, and Models of Perception, Emotion, and Action</a>.</li></ul></li></ul> Topics Time stamps: 0:00 - Intro 5:48 - Skip Intro 9:42 - Beginnings 18:40 - Modeling method 44:05 - Physics vs. neuroscience 54:50 - Historical credit for Hopfield network 1:03:40 - Steve's upcoming book 1:08:24 - Being shy 1:11:21 - Stability plasticity dilemma 1:14:10 - Adaptive resonance theory 1:18:25 - ART matching rule 1:21:35 - Consciousness as resonance 1:29:15 - Complementary computing 1:38:58 - Vigilance to re-orient 1:54:58 - Deep learning vs. ART