BI 212 John Beggs: Why Brains Seek the Edge of Chaos

BI 212 John Beggs: Why Brains Seek the Edge of Chaos

Brain Inspired
Brain Inspired
BI 212 John Beggs: Why Brains Seek the Edge of Chaos
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You may have heard of the critical brain hypothesis. It goes something like this: brain activity operates near a dynamical regime called criticality, poised at the sweet spot between too much order and too much chaos, and this is a good thing because systems at criticality are optimized for computing, they maximize information transfer, they maximize the time range over which they operate, and a handful of other good properties.

BI 211 COGITATE: Testing Theories of Consciousness

BI 211 COGITATE: Testing Theories of Consciousness

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Brain Inspired
BI 211 COGITATE: Testing Theories of Consciousness
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Rony Hirschhorn, Alex Lepauvre, and Oscar Ferrante on testing integrated information and global neuronal workspace theories of consciousness.

BI 210 Dean Buonomano: Consciousness, Time, and Organotypic Dynamics

BI 210 Dean Buonomano: Consciousness, Time, and Organotypic Dynamics

Brain Inspired
Brain Inspired
BI 210 Dean Buonomano: Consciousness, Time, and Organotypic Dynamics
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Dean Buonomano on time in neuroscience vs. physics, integrated information theory, testing timing dynamics in organotypic brain slices, and how AI doesn’t need neuroscience to continue to progress.

BI 209 Aran Nayebi: The NeuroAI Turing Test

BI 209 Aran Nayebi: The NeuroAI Turing Test

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Brain Inspired
BI 209 Aran Nayebi: The NeuroAI Turing Test
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Aran Nayebi on NeuroAgents, reverse-engineering brains to build autonomous agents, and an update to the Turing test for NeuroAI.

BI 208 Gabriele Scheler: From Verbal Thought to Neuron Computation

BI 208 Gabriele Scheler: From Verbal Thought to Neuron Computation

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Brain Inspired
BI 208 Gabriele Scheler: From Verbal Thought to Neuron Computation
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Gabriele Scheler co-founded the Carl Correns Foundation for Mathematical Biology. In fact, Carl Correns was her great grandfather, one of the early pioneers in genetics. Gabriele is a computational neuroscientist, whose goal is to build models of cellular computation, and much of her focus is on neurons.