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BI 176 David Poeppel Returns

BI 176 David Poeppel Returns

FromBrain Inspired


BI 176 David Poeppel Returns

FromBrain Inspired

ratings:
Length:
84 minutes
Released:
Oct 14, 2023
Format:
Podcast episode

Description

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David runs his lab at NYU, where they stud`y auditory cognition, speech perception, language, and music. On the heels of the episode with David Glanzman, we discuss the ongoing mystery regarding how memory works, how to study and think about brains and minds, and the reemergence (perhaps) of the language of thought hypothesis.




Poeppel lab



Twitter: @davidpoeppel.



Related papers

We don’t know how the brain stores anything, let alone words.



Memory in humans and deep language models: Linking hypotheses for model augmentation.



The neural ingredients for a language of thought are available.






0:00 - Intro
11:17 - Across levels
14:598 - Nature of memory
24:12 - Using the right tools for the right question
35:46 - LLMs, what they need, how they've shaped David's thoughts
44:55 - Across levels
54:07 - Speed of progress
1:02:21 - Neuroethology and mental illness - patreon
1:24:42 - Language of Thought
Released:
Oct 14, 2023
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.