BI 187: COSYNE 2024 Neuro-AI Panel

BI 187: COSYNE 2024 Neuro-AI Panel

Brain Inspired
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
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
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
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.

BI 183 Dan Goodman: Neural Reckoning

BI 183 Dan Goodman: Neural Reckoning

Brain Inspired
Brain Inspired
BI 183 Dan Goodman: Neural Reckoning
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You may know my guest as the co-founder of Neuromatch, the excellent online computational neuroscience academy, or as the creator of the Brian spiking neural network simulator, which is freely available. I know him as a spiking neural network practitioner extraordinaire. Dan Goodman runs the Neural Reckoning Group at Imperial College London, where they use spiking neural networks to figure out how biological and artificial brains reckon, or compute.