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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

01:54:26

BI 155 Luiz Pessoa: The Entangled Brain

Brain Inspired ·

2022/12/10

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 Luiz Pessoa runs his Laboratory of Cognition and Emotion at the University of Maryland, College Park, where he studies how emotion and cognition interact. On this episode, we discuss many of the topics from his latest book, The Entangled Brain: How Perception, Cognition, and Emotion Are Woven Together, which is aimed at a general

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01:22:27

BI 154 Anne Collins: Learning with Working Memory

Brain Inspired ·

2022/11/29

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. Anne Collins runs her Computational Cognitive Neuroscience Lab at the University of California, Berkley One of the things she's been working on for years is how our working memory plays a role in learning as well, and specifically how working memory and reinforcement learning interact to affect how we learn, depending on the nature of what

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01:25:30

BI 153 Carolyn Dicey-Jennings: Attention and the Self

Brain Inspired ·

2022/11/18

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. Carolyn Dicey Jennings is a philosopher and a cognitive scientist at University of California, Merced. In her book The Attending Mind, she lays out an attempt to unify the concept of attention. Carolyn defines attention roughly as the mental prioritization of some stuff over other stuff based on our collective interests. And one of her main

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01:45:11

BI 152 Michael L. Anderson: After Phrenology: Neural...

Brain Inspired ·

2022/11/08

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. Michael L. Anderson is a professor at the Rotman Institute of Philosophy, at Western University. His book, After Phrenology: Neural Reuse and the Interactive Brain, calls for a re-conceptualization of how we understand and study brains and minds. Neural reuse is the phenomenon that any given brain area is active for multiple cognitive

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01:31:17

BI 151 Steve Byrnes: Brain-like AGI Safety

Brain Inspired ·

2022/10/30

Support the show to get full episodes and join the Discord community. Steve Byrnes is a physicist turned AGI safety researcher. He's concerned that when we create AGI, whenever and however that might happen, we run the risk of creating it in a less than perfectly safe way. AGI safety (AGI not doing something bad) is a wide net that encompasses AGI alignment (AGI doing what we want it to do). We discuss a host of ideas Steve writes about in his Intro to Brain-Like-AGI Safety blog series,

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01:38:29

BI 150 Dan Nicholson: Machines, Organisms, Processes

Brain Inspired ·

2022/10/15

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 Dan Nicholson is a philosopher at George Mason University. He incorporates the history of science and philosophy into modern analyses of our conceptions of processes related to life and organisms. He is also interested in re-orienting our conception of the universe as made fundamentally of things/substances, and replacing it with the idea

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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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246 results

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