BI 188 Jolande Fooken: Coordinating Action and Perception

BI 188 Jolande Fooken: Coordinating Action and Perception

Brain Inspired
BI 188 Jolande Fooken: Coordinating Action and Perception
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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.

BI 187: COSYNE 2024 Neuro-AI Panel

BI 187: COSYNE 2024 Neuro-AI Panel

Brain Inspired
BI 187: COSYNE 2024 Neuro-AI Panel
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Recently I was invited to moderate a panel at the annual Computational and Systems Neuroscience, or COSYNE, conference. This year was the 20th anniversary of COSYNE, and we were in Lisbon Porturgal.

BI 186 Mazviita Chirimuuta: The Brain Abstracted

BI 186 Mazviita Chirimuuta: The Brain Abstracted

Brain Inspired
BI 186 Mazviita Chirimuuta: The Brain Abstracted
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Mazviita Chirimuuta is a philosopher at the University of Edinburgh. Today we discuss topics from her new book, The Brain Abstracted: Simplification in the History and Philosophy of Neuroscience.

BI 185 Eric Yttri: Orchestrating Behavior

BI 185 Eric Yttri: Orchestrating Behavior

Brain Inspired
BI 185 Eric Yttri: Orchestrating Behavior
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Eric’s lab studies the relationship between various kinds of behaviors and the neural activity in a few areas known to be involved in enacting and shaping those behaviors, namely the motor cortex and basal ganglia.  And study that, he uses tools like optogentics, neuronal recordings, and stimulations, while mice perform certain tasks, or, in my case, while they freely behave wandering around an enclosed space.

BI 184 Peter Stratton: Synthesize Neural Principles

BI 184 Peter Stratton: Synthesize Neural Principles

Brain Inspired
BI 184 Peter Stratton: Synthesize Neural Principles
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What Pete argues for is what he calls a sideways-in approach. So a bottom-up approach is to build things like we find them in the brain, put them together, and voila, we’ll get cognition. A top-down approach, the current approach in AI, is to train a system to perform a task, give it some algorithms to run, and fiddle with the architecture and lower level details until you pass your favorite benchmark test.