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Brain Inspired

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Location:

United States

Twitter:

@pgmid

Language:

English

Contact:

4122660974


Episodes

BI 017 Jeff Hawkins: Location, Location, Location

11/7/2018
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Jeff and I discuss his new framework to understand how our cortex functions by building models of complete objects in all the cortical columns throughout the cortex. We also talk about his book On Intelligence, and I get his take on a number of other topics.

Duration:01:00:43

BI 016 Ryota Kanai: Artificial Consciousness

10/31/2018
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Ryota and I discuss his two goals - to implement the functions of consciousness, and to figure out how to measure whether a given system (human, AI, etc) has consciousness. We also talk about his paper implementing curiosity and empowerment as intrinsic motivation in a reinforcement learning AI agent. Plus much more.

Duration:01:01:01

BI 015 Terrence Sejnowski: How to Start a Deep Learning Revolution

10/24/2018
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Terry and I talk about his new book, The Deep Learning Revolution, about the past, present, and future of deep learning. Plus his super-popular online course Learning How To Learn with Barbara Oakley.

Duration:00:55:06

BI 014 Konrad Kording: Regulators, Mount Up!

10/18/2018
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Konrad and I discuss his work automatically detecting potential image fraud in scientific papers, his take on consciousness, and plenty more.

Duration:00:44:15

BI 013 Dileep George: Vicarious Robot AI

10/11/2018
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Dileep and I talk about how his company, Vicarious, aims to create general artificial intelligence for robots, using tons of inspiration from brain structure and function. We also discuss his recent graphical model that, among other things, breaks CAPTCHAs with very few training examples.

Duration:00:56:51

BI 012 Niko Kriegeskorte: Black Box, White Box

10/5/2018
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Niko and I discuss cognitive computational neuroscience as an emerging fusion between cognitive science, computational neuroscience, and artificial intelligence - and how it all fits together. Plus we talk about the conference by that name.

Duration:01:11:15

BI 011 Grace Lindsay: Visual Attention in CNNs

9/27/2018
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Grace shares her recent work adding an attention signal to convolutional neural networks - ones that emulate the ventral visual stream in the brain - to test the "feature gain similarity" model of attention. Lots more, of course. Click the show to access the show notes.

Duration:01:00:10

BI 010 Adam Marblestone: Brain Cost Functions

9/20/2018
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Adam and I discuss the possibility there are cost functions optimized in the brain, where and how it might work, Marvin Minsky's Society of Mind, and lots more.

Duration:01:11:10

BI 009 Blake Richards: Deep Learning in the Brain

9/13/2018
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Blake and I discuss his recent work exploring one way credit assignment could occur in the brain, using different regions within a single cortical neuron to encode the necessary signal.

Duration:01:14:23

BI 008 Joshua Glaser: Supervised ML for Neuroscience

9/7/2018
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Josh and I talk about all the ways supervised machine learning can be used in neuroscience research, and we walk through how a variety of machine learning algorithms perform decoding on a few neural data sets.

Duration:00:56:56

BI 007 Daniel Yamins: Infant AI and CNNs

9/1/2018
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In this episode, Dan Yamins and I talk about how he uses hierarchical convolutional neural networks to model the ventral visual stream, finding that the units in his model correspond to neurons in progressive layers of the brain. We also delve into the AI agents he develops that learn how to play through intrinsic motivation. Click the episode to get the show notes.

Duration:01:06:38

BI 006 Ryan Poplin: Deep Solutions

8/25/2018
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Ryan and I go deep (pun intended) on convolutional neural networks and how he uses them to solve problems in medical risk factor discovery and improve genome sequencing, and more. Click the episode for the show notes

Duration:00:40:15

BI 005 David Sussillo: RNNs are Back!

8/2/2018
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David and I cover recurrent neural networks (RNNs), his work using RNNs to study motor brain processes, how dynamical systems theory is a useful approach to brains and AI, and more. Click the episode for the show notes.

Duration:00:50:29

BI 004 Mark Humphries: Learning to Remember

8/2/2018
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What does it mean to be a neural data scientist? Mark and I talk about that, his work discovering how rat prefrontal cortex learns to remember, and a bunch of AI topics he's written about via his Medium blog. Click the episode for the show notes

Duration:00:46:38

BI 003 Blake Porter: Effortful Rats

8/2/2018
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Blake and I talk about his work studying effort and decision making in the hippocampus of rats, how AI bots are taking over the gaming world, and more. Click the episode for the show notes

Duration:00:47:04

BI 002 Steven Potter Part 2: Brains in Dishes

8/2/2018
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We talk about how he got the embodied cultured networks to actually work, the hurdles they had to jump through, the rise of citizen science, the Maker movement, and more. Click the episode for the show notes

Duration:01:16:26

BI 001 Steven Potter: Brains in Dishes

8/2/2018
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We talk about his embodied cultured networks, the neuron-robot hybrid system, how brains work and learn and how that's related to AI, and more. Click the episode for the show notes

Duration:00:45:06

BI 000 Introduction

7/23/2018
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An brief introduction to the Brain Inspired podcast.

Duration:00:05:00