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BI 025 John Krakauer: Understanding Cognition

BI 025 John Krakauer: Understanding Cognition

FromBrain Inspired


BI 025 John Krakauer: Understanding Cognition

FromBrain Inspired

ratings:
Length:
106 minutes
Released:
Jan 25, 2019
Format:
Podcast episode

Description

Show notes


BLAM (Brain, Learning, Animation, and Movement) Lab homepage: http://blam-lab.org/


BLAM on Twitter: @blamlab


Papers we discuss:


Neuroscience Needs Behavior: Correcting a Reductionist Bias.


John and his brother David’s interview in Current Biology: John and David Krakauer



Mark Humphries’ piece on John’s “Neuroscience Needs Behavior” paper.

Tinbergen’s 4 Questions.


John’s book on stroke recovery: Broken Movement: The Neurobiology of Motor Recovery after Stroke (The MIT Press).


David Marr’s classic work, Vision.


More is Different by Phillip Anderson, and the hierarchical nature of scientific disciplines.


Understanding Scientific Understanding by Henk W. De Regt.


Inventing Temperature: Measurement and Scientific Progress by Hasock Chang.


Soul Dust: The Magic of Consciousness by Nicholas Humphrey.


The Organisation of Mind by Tim Shallice and Richard Cooper.
Released:
Jan 25, 2019
Format:
Podcast episode

Titles in the series (100)

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 neuroscience, supervised machine learning, unsupervised learning, reinforcement learning, deep learning, convolutional and recurrent neural networks, decision-making science, AI agents, backpropagation, credit assignment, neuroengineering, neuromorphics, emergence, philosophy of mind, consciousness, general AI, spiking neural networks, data science, and a lot more. The podcast is not produced for a general audience. Instead, it aims to educate, challenge, inspire, and hopefully entertain those interested in learning more about neuroscience and AI.