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BI 188 Jolande Fooken: Coordinating Action and Perception

BI 188 Jolande Fooken: Coordinating Action and Perception

FromBrain Inspired


BI 188 Jolande Fooken: Coordinating Action and Perception

FromBrain Inspired

ratings:
Length:
88 minutes
Released:
May 27, 2024
Format:
Podcast episode

Description

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Jolande Fooken is a post-postdoctoral researcher interested in how we move our eyes and move our hands together to accomplish naturalistic tasks. Hand-eye coordination is one of those things that sounds simple and we do it all the time to make meals for our children day in, and day out, and day in, and day out. But it becomes way less seemingly simple as soon as you learn how we make various kinds of eye movements, and how we make various kinds of hand movements, and use various strategies to do repeated tasks. And like everything in the brain sciences, it's something we don't have a perfect story for yet. So, Jolande and I discuss her work, and thoughts, and ideas around those and related topics.




Jolande's website.



Twitter: @ookenfooken.



Related papers

I am a parent. I am a scientist.



Eye movement accuracy determines natural interception strategies.



Perceptual-cognitive integration for goal-directed action in naturalistic environments.






0:00 - Intro
3:27 - Eye movements
8:53 - Hand-eye coordination
9:30 - Hand-eye coordination and naturalistic tasks
26:45 - Levels of expertise
34:02 - Yarbus and eye movements
42:13 - Varieties of experimental paradigms, varieties of viewing the brain
52:46 - Career vision
1:04:07 - Evolving view about the brain
1:10:49 - Coordination, robots, and AI
Released:
May 27, 2024
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.