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BI 050 Kyle Dunovan: Academia to Industry

BI 050 Kyle Dunovan: Academia to Industry

FromBrain Inspired


BI 050 Kyle Dunovan: Academia to Industry

FromBrain Inspired

ratings:
Length:
96 minutes
Released:
Oct 17, 2019
Format:
Podcast episode

Description

Kyle and I talk about his work modeling the basal ganglia and its circuitry to control whether we take an action and how we select among alternative actions. We also reflect on his experiences in academia, the larger picture of what it’s like in graduate school and after - at least in a computational neuroscience program - why he left, what he’s doing now, and how it all fits together.



Show notes:



Kyle’s website. Follow him on twitter: @dunovank Examples of his work on basal ganglia and decision-making and control: Believer-Skeptic Meets Actor-Critic: Rethinking the Role of Basal Ganglia Pathways during Decision-Making and Reinforcement Learning. Reward-driven changes in striatal pathway competition shape evidence evaluation in decision-making. Errors in Action Timing and Inhibition Facilitate Learning by Tuning Distinct Mechanisms in the Underlying Decision Process. Mark Humphries’ article on Medium: Academia is the Alternative Career Path. For fun, a bit about the “free will” experiments of Benjamin Libet. 
Released:
Oct 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.