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BI 182: John Krakauer Returns… Again

BI 182: John Krakauer Returns… Again

FromBrain Inspired


BI 182: John Krakauer Returns… Again

FromBrain Inspired

ratings:
Length:
86 minutes
Released:
Jan 19, 2024
Format:
Podcast episode

Description

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











John Krakauer has been on the podcast multiple times (see links below). Today we discuss some topics framed around what he's been working on and thinking about lately. Things like




Whether brains actually reorganize after damage



The role of brain plasticity in general



The path toward and the path not toward understanding higher cognition



How to fix motor problems after strokes



AGI



Functionalism, consciousness, and much more.




Relevant links:




John's Lab.



Twitter: @blamlab



Related papers

What are we talking about? Clarifying the fuzzy concept of representation in neuroscience and beyond.



Against cortical reorganisation.





Other episodes with John:

BI 025 John Krakauer: Understanding Cognition



BI 077 David and John Krakauer: Part 1



BI 078 David and John Krakauer: Part 2



BI 113 David Barack and John Krakauer: Two Views On Cognition






Time stamps
0:00 - Intro
2:07 - It's a podcast episode!
6:47 - Stroke and Sherrington neuroscience
19:26 - Thinking vs. moving, representations
34:15 - What's special about humans?
56:35 - Does cortical reorganization happen?
1:14:08 - Current era in neuroscience
Released:
Jan 19, 2024
Format:
Podcast episode

Titles in the series (99)

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.