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BI 046 David Poeppel: From Sounds to Meanings

BI 046 David Poeppel: From Sounds to Meanings

FromBrain Inspired


BI 046 David Poeppel: From Sounds to Meanings

FromBrain Inspired

ratings:
Length:
97 minutes
Released:
Sep 8, 2019
Format:
Podcast episode

Description

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David and I talk about his work to understand how sound waves floating in the air get transformed into meaningful concepts in your mind. He studies speech processing and production, language, music, and everything in between, approaching his work with steadfast principles to help frame what it means to understand something scientifically. We discuss many of the hurdles to understanding how our brains work and making real progress in science, plus a ton more.





Show Notes




Visit David's lab website at NYU. He’s also a director at Max Planck Institute for Empirical Aesthetics. Follow him on twitter: @davidpoeppel. For a related episode (philosophically), you might re-visit my discussion with John Krakauer. Some of the papers we discuss or mention (lots more on his website): The cortical organization of speech processing.The maps problem and the mapping problem: Two challenges for a cognitive neuroscience of speech and language.A good talk: What Language Processing in the Brain Tells Us About the Structure of the Mind. NLP Transformer model: How do Transformers Work in NLP? A Guide to the Latest State-of-the-Art Models. Attention Is All You Need.
Released:
Sep 8, 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.