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BI 053 Jon Brennan: Linguistics in Minds and Machines

BI 053 Jon Brennan: Linguistics in Minds and Machines

FromBrain Inspired


BI 053 Jon Brennan: Linguistics in Minds and Machines

FromBrain Inspired

ratings:
Length:
93 minutes
Released:
Nov 17, 2019
Format:
Podcast episode

Description

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Jon and I discuss understanding the syntax and semantics of language in our brains. He uses linguistic knowledge at the level of sentence and words, neuro-computational models, and neural data like EEG and fMRI to figure out how we process and understand language while listening to the natural language found in everyday conversations and stories. I also get his take on the current state of natural language processing and other AI advances, and how linguistics, neurolinguistics, and AI can contribute to each other. 







Jon's Computational Neurolinguistics Lab. His personal website. The papers we discuss or mention: Hierarchical structure guides rapid linguistic predictions during naturalistic listening.Finding syntax in human encephalography with beam search.
Released:
Nov 17, 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.