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PODCAST

Brain Inspired

Paul Middlebrooks

Neuroscience and artificial intelligence work better together. Brain inspired is a celebration and exploration of the ideas driving our progress to understand intelligence. I interview experts about their work at the interface of neuroscience, artificial intelligence, cognitive science, philosophy, psychology, and more: the symbiosis of these overlapping fields, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include computational

science natural sciences

All Episodes

01:33:54

BI 149 William B. Miller: Cell Intelligence

Brain Inspired ·

2022/10/05

Check out my free video series about what's missing in AI and Neuroscience Support the show to get full episodes and join the Discord community. William B. Miller is an ex-physician turned evolutionary biologist. In this episode, we discuss topics related to his new book, Bioverse: How the Cellular World Contains the Secrets to Life's Biggest Questions. The premise of the book is that all individual cells are intelligent in their own right, and possess a sense of self. From this,

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01:28:48

BI 148 Gaute Einevoll: Brain Simulations

Brain Inspired ·

2022/09/25

Check out my free video series about what's missing in AI and Neuroscience Support the show to get full episodes and join the Discord community. Gaute Einevoll is a professor at the University of Oslo and Norwegian University of Life Sciences. Use develops detailed models of brain networks to use as simulations, so neuroscientists can test their various theories and hypotheses about how networks implement various functions. Thus, the models are tools. The goal is to create models

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01:37:08

BI 147 Noah Hutton: In Silico

Brain Inspired ·

2022/09/13

Check out my free video series about what's missing in AI and Neuroscience Support the show to get full episodes and join the Discord community. Noah Hutton writes, directs, and scores documentary and narrative films. On this episode, we discuss his documentary In Silico. In 2009, Noah watched a TED talk by Henry Markram, in which Henry claimed it would take 10 years to fully simulate a human brain. This claim inspired Noah to chronicle the project, visiting Henry and his team

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01:22:51

BI 146 Lauren Ross: Causal and Non-Causal Explanation

Brain Inspired ·

2022/09/07

Check out my free video series about what's missing in AI and Neuroscience Support the show to get full episodes and join the Discord community. Lauren Ross is an Associate Professor at the University of California, Irvine. She studies and writes about causal and non-causal explanations in philosophy of science, including distinctions among causal structures. Throughout her work, Lauren employs Jame's Woodward's interventionist approach to causation, which Jim and I discussed in

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01:25:52

BI 145 James Woodward: Causation with a Human Face

Brain Inspired ·

2022/08/28

Check out my free video series about what's missing in AI and Neuroscience Support the show to get full episodes and join the Discord community. James Woodward is a recently retired Professor from the Department of History and Philosophy of Science at the University of Pittsburgh. Jim has tremendously influenced the field of causal explanation in the philosophy of science. His account of causation centers around intervention - intervening on a cause should alter its effect. From

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01:11:41

BI 144 Emily M. Bender and Ev Fedorenko: Large...

Brain Inspired ·

2022/08/17

Check out my short video series about what's missing in AI and Neuroscience. Support the show to get full episodes and join the Discord community. Large language models, often now called "foundation models", are the model de jour in AI, based on the transformer architecture. In this episode, I bring together Evelina Fedorenko and Emily M. Bender to discuss how language models stack up to our own language processing and generation (models and brains both excel at next-word prediction),

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01:24:53

BI 143 Rodolphe Sepulchre: Mixed Feedback Control

Brain Inspired ·

2022/08/05

Check out my free video series about what's missing in AI and Neuroscience Support the show to get full episodes and join the Discord community. Rodolphe Sepulchre is a control engineer and theorist at Cambridge University. He focuses on applying feedback control engineering principles to build circuits that model neurons and neuronal circuits. We discuss his work on mixed feedback control - positive and negative - as an underlying principle of the mixed digital and analog brain

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01:43:16

BI 142 Cameron Buckner: The New DoGMA

Brain Inspired ·

2022/07/26

Check out my free video series about what's missing in AI and Neuroscience Support the show to get full episodes and join the Discord community. Cameron Buckner is a philosopher and cognitive scientist at The University of Houston. He is writing a book about the age-old philosophical debate on how much of our knowledge is innate (nature, rationalism) versus how much is learned (nurture, empiricism). In the book and his other works, Cameron argues that modern AI can help settle the

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01:31:40

BI 141 Carina Curto: From Structure to Dynamics

Brain Inspired ·

2022/07/12

Check out my free video series about what's missing in AI and Neuroscience Support the show to get full episodes and join the Discord community. Carina Curto is a professor in the Department of Mathematics at The Pennsylvania State University. She uses her background skills in mathematical physics/string theory to study networks of neurons. On this episode, we discuss the world of topology in neuroscience - the study of the geometrical structures mapped out by active populations of

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01:20:22

BI 140 Jeff Schall: Decisions and Eye Movements

Brain Inspired ·

2022/06/30

Check out my free video series about what's missing in AI and Neuroscience Support the show to get full episodes and join the Discord community. Jeff Schall is the director of the Center for Visual Neurophysiology at York University, where he runs the Schall Lab. His research centers around studying the mechanisms of our decisions, choices, movement control, and attention within the saccadic eye movement brain systems and in mathematical psychology models- in other words, how we

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01:20:11

BI 139 Marc Howard: Compressed Time and Memory

Brain Inspired ·

2022/06/20

Check out my free video series about what's missing in AI and Neuroscience Support the show to get full episodes and join the Discord community. Marc Howard runs his Theoretical Cognitive Neuroscience Lab at Boston University, where he develops mathematical models of cognition, constrained by psychological and neural data. In this episode, we discuss the idea that a Laplace transform and its inverse may serve as a unified framework for memory. In short, our memories are compressed on a

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01:51:42

BI 138 Matthew Larkum: The Dendrite Hypothesis

Brain Inspired ·

2022/06/06

Check out my free video series about what's missing in AI and Neuroscience Support the show to get full episodes and join the Discord community. Matthew Larkum runs his lab at Humboldt University of Berlin, where his group studies how dendrites contribute to computations within and across layers of the neocortex. Since the late 1990s, Matthew has continued to uncover key properties of the way pyramidal neurons stretch across layers of the cortex, their dendrites receiving inputs from

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01:17:49

BI 137 Brian Butterworth: Can Fish Count?

Brain Inspired ·

2022/05/27

Check out my free video series about what's missing in AI and Neuroscience Support the show to get full episodes and join the Discord community. Brian Butterworth is Emeritus Professor of Cognitive Neuropsychology at University College London. In his book, Can Fish Count?: What Animals Reveal About Our Uniquely Mathematical Minds, he describes the counting and numerical abilities across many different species, suggesting our ability to count is evolutionarily very old (since many

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01:34:12

BI 136 Michel Bitbol and Alex Gomez-Marin: Phenomenology

Brain Inspired ·

2022/05/17

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 Michel Bitbol is Director of Research at CNRS (Centre National de la Recherche Scientifique). Alex Gomez-Marin is a neuroscientist running his lab, The Behavior of Organisms Laboratory, at the Instituto de Neurociencias in Alicante. We discuss phenomenology as an alternative perspective on our scientific endeavors. Although we like to

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01:17:25

BI 135 Elena Galea: The Stars of the Brain

Brain Inspired ·

2022/05/06

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 Brains are often conceived as consisting of neurons and "everything else." As Elena discusses, the "everything else," including glial cells and in particular astrocytes, have largely been ignored in neuroscience. That's partly because the fast action potentials of neurons have been assumed to underlie computations in the brain, and because

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01:26:17

BI 134 Mandyam Srinivasan: Bee Flight and Cognition

Brain Inspired ·

2022/04/27

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 Srini is Emeritus Professor at Queensland Brain Institute in Australia. In this episode, he shares his wide range of behavioral experiments elucidating the principles of flight and navigation in insects. We discuss how bees use optic flow signals to determine their speed, distance, proximity to objects, and to gracefully land. These

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01:29:14

BI 133 Ken Paller: Lucid Dreaming, Memory, and Sleep

Brain Inspired ·

2022/04/15

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 Ken discusses the recent work in his lab that allows communication with subjects while they experience lucid dreams. This new paradigm opens many avenues to study the neuroscience and psychology of consciousness, sleep, dreams, memory, and learning, and to improve and optimize sleep for cognition. Ken and his team are developing a Lucid

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01:17:20

BI 132 Ila Fiete: A Grid Scaffold for Memory

Brain Inspired ·

2022/04/03

Announcement: I'm releasing my Neuro-AI course April 10-13, after which it will be closed for some time. Learn more here. Support the show to get full episodes and join the Discord community. Ila discusses her theoretical neuroscience work suggesting how our memories are formed within the cognitive maps we use to navigate the world and navigate our thoughts. The main idea is that grid cell networks in the entorhinal cortex internally generate a structured scaffold, which gets sent

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01:26:52

BI 131 Sri Ramaswamy and Jie Mei:...

Brain Inspired ·

2022/03/26

Support the show to get full episodes and join the Discord community. Sri and Mei join me to discuss how including principles of neuromodulation in deep learning networks may improve network performance. It's an ever-present question how much detail to include in models, and we are in the early stages of learning how neuromodulators and their interactions shape biological brain function. But as we continue to learn more, Sri and Mei are interested in building "neuromodulation-aware

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01:00:56

BI 130 Eve Marder: Modulation of Networks

Brain Inspired ·

2022/03/13

Support the show to get full episodes and join the Discord community. Eve discusses many of the lessons she has learned studying a small nervous system, the crustacean stomatogastric nervous system (STG). The STG has only about 30 neurons and its connections and neurophysiology are well-understood. Yet Eve's work has shown it functions under a remarkable diversity of conditions, and does so is a remarkable variety of ways. We discuss her work on the STG specifically, and what her work

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240 results

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