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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

01:17:25

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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01:21:01

BI 129 Patryk Laurent: Learning from the Real World

Brain Inspired ·

2022/03/02

Support the show to get full episodes and join the Discord community. Patryk and I discuss his wide-ranging background working in both the neuroscience and AI worlds, and his resultant perspective on what's needed to move forward in AI, including some principles of brain processes that are more and less important. We also discuss his own work using some of those principles to help deep learning generalize to better capture how humans behave in and perceive the world. Patryk's

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01:25:40

BI 128 Hakwan Lau: In Consciousness We Trust

Brain Inspired ·

2022/02/20

Support the show to get full episodes and join the Discord community. Hakwan and I discuss many of the topics in his new book, In Consciousness we Trust: The Cognitive Neuroscience of Subjective Experience. Hakwan describes his perceptual reality monitoring theory of consciousness, which suggests consciousness may act as a systems check between our sensory perceptions and higher cognitive functions. We also discuss his latest thoughts on mental quality space and how it relates to perceptual

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01:42:39

BI 127 Tomás Ryan: Memory, Instinct, and Forgetting

Brain Inspired ·

2022/02/10

Support the show to get full episodes and join the Discord community. Tomás and I discuss his research and ideas on how memories are encoded (the engram), the role of forgetting, and the overlapping mechanisms of memory and instinct. Tomás uses otpogenetics and other techniques to label and control neurons involved in learning and memory, and has shown that forgotten memories can be restored by stimulating "engram cells" originally associated with the forgotten memory. This line of research

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01:19:57

BI 126 Randy Gallistel: Where Is the Engram?

Brain Inspired ·

2022/01/31

Support the show to get full episodes and join the Discord community. Randy and I discuss his long-standing interest in how the brain stores information to compute. That is, where is the engram, the physical trace of memory in the brain? Modern neuroscience is dominated by the view that memories are stored among synaptic connections in populations of neurons. Randy believes a more reasonable and reliable way to store abstract symbols, like numbers, is to write them into code within

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01:11:05

BI 125 Doris Tsao, Tony Zador, Blake Richards: NAISys

Brain Inspired ·

2022/01/19

Support the show to get full episodes and join the Discord community. Doris, Tony, and Blake are the organizers for this year's NAISys conference, From Neuroscience to Artificially Intelligent Systems (NAISys), at Cold Spring Harbor. We discuss the conference itself, some history of the neuroscience and AI interface, their current research interests, and a handful of topics around evolution, innateness, development, learning, and the current and future prospects for using neuroscience to

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01:39:27

BI 124 Peter Robin Hiesinger: The Self-Assembling Brain

Brain Inspired ·

2022/01/05

Support the show to get full episodes and join the Discord community. Robin and I discuss many of the ideas in his book The Self-Assembling Brain: How Neural Networks Grow Smarter. The premise is that our DNA encodes an algorithmic growth process that unfolds information via time and energy, resulting in a connected neural network (our brains!) imbued with vast amounts of information from the "start". This contrasts with modern deep learning networks, which start with minimal initial

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01:18:59

BI 123 Irina Rish: Continual Learning

Brain Inspired ·

2021/12/26

Support the show to get full episodes and join the Discord community. Irina is a faculty member at MILA-Quebec AI Institute and a professor at Université de Montréal. She has worked from both ends of the neuroscience/AI interface, using AI for neuroscience applications, and using neural principles to help improve AI. We discuss her work on biologically-plausible alternatives to back-propagation, using "auxiliary variables" in addition to the normal connection weight updates. We also discuss

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01:33:18

BI 122 Kohitij Kar: Visual Intelligence

Brain Inspired ·

2021/12/12

Support the show to get full episodes and join the Discord community. Ko and I discuss a range of topics around his work to understand our visual intelligence. Ko was a postdoc in James Dicarlo's lab, where he helped develop the convolutional neural network models that have become the standard for explaining core object recognition. He is starting his own lab at York University, where he will continue to expand and refine the models, adding important biological details and incorporating

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01:43:12

BI 121 Mac Shine: Systems Neurobiology

Brain Inspired ·

2021/12/02

Support the show to get full episodes and join the Discord community. Mac and I discuss his systems level approach to understanding brains, and his theoretical work suggesting important roles for the thalamus, basal ganglia, and cerebellum, shifting the dynamical landscape of brain function within varying behavioral contexts. We also discuss his recent interest in the ascending arousal system and neuromodulators. Mac thinks the neocortex has been the sole focus of too much neuroscience

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01:40:02

BI 120 James Fitzgerald, Andrew Saxe, Weinan Sun:...

Brain Inspired ·

2021/11/21

Support the show to get full episodes and join the Discord community. James, Andrew, and Weinan discuss their recent theory about how the brain might use complementary learning systems to optimize our memories. The idea is that our hippocampus creates our episodic memories for individual events, full of particular details. And through a complementary process, slowly consolidates those memories within our neocortex through mechanisms like hippocampal replay. The new idea in their work

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01:06:36

BI 119 Henry Yin: The Crisis in Neuroscience

Brain Inspired ·

2021/11/11

Support the show to get full episodes and join the Discord community. Henry and I discuss why he thinks neuroscience is in a crisis (in the Thomas Kuhn sense of scientific paradigms, crises, and revolutions). Henry thinks our current concept of the brain as an input-output device, with cognition in the middle, is mistaken. He points to the failure of neuroscience to successfully explain behavior despite decades of research. Instead, Henry proposes the brain is one big hierarchical set of

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01:36:08

BI 118 Johannes Jäger: Beyond Networks

Brain Inspired ·

2021/11/01

Support the show to get full episodes and join the Discord community. Johannes (Yogi) is a freelance philosopher, researcher & educator. We discuss many of the topics in his online course, Beyond Networks: The Evolution of Living Systems. The course is focused on the role of agency in evolution, but it covers a vast range of topics: process vs. substance metaphysics, causality, mechanistic dynamic explanation, teleology, the important role of development mediating genotypes, phenotypes,

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01:32:09

BI 117 Anil Seth: Being You

Brain Inspired ·

2021/10/19

Support the show to get full episodes and join the Discord community. Anil and I discuss a range of topics from his book, BEING YOU A New Science of Consciousness. Anil lays out his framework for explaining consciousness, which is embedded in what he calls the "real problem" of consciousness. You know the "hard problem", which was David Chalmers term for our eternal difficulties to explain why we have subjective awareness at all instead of being unfeeling, unexperiencing machine-like

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01:31:20

BI 116 Michael W. Cole: Empirical Neural Networks

Brain Inspired ·

2021/10/12

Support the show to get full episodes and join the Discord community. Mike and I discuss his modeling approach to study cognition. Many people I have on the podcast use deep neural networks to study brains, where the idea is to train or optimize the model to perform a task, then compare the model properties with brain properties. Mike's approach is different in at least two ways. One, he builds the architecture of his models using connectivity data from fMRI recordings. Two, he doesn't train

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246 results

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