BI 247 Maxim Raginsky: A Control Theory View on Brains and AI

BI 247 Maxim Raginsky: A Control Theory View on Brains and AI

Brain Inspired
Brain Inspired
BI 247 Maxim Raginsky: A Control Theory View on Brains and AI
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Maxim Raginsky discusses how control theory can help explain artificial and natural intelligence and autonomy.

BI 246 Andrea Gambarotto: Cognition Requires Agency

BI 246 Andrea Gambarotto: Cognition Requires Agency

Brain Inspired
Brain Inspired
BI 246 Andrea Gambarotto: Cognition Requires Agency
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BI 245 Dan Levenstein: Neuro-AI, Dynamics, and Model Systems

BI 245 Dan Levenstein: Neuro-AI, Dynamics, and Model Systems

Brain Inspired
Brain Inspired
BI 245 Dan Levenstein: Neuro-AI, Dynamics, and Model Systems
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Daniel Levenstein explains how internally generated brain activity during sleep shapes our cognition, and why Neuro-AI is such a powerful approach to understand our brains.

BI 244 Marco Facchin: Philosophy and Science of Biological Brains

BI 244 Marco Facchin: Philosophy and Science of Biological Brains

Brain Inspired
Brain Inspired
BI 244 Marco Facchin: Philosophy and Science of Biological Brains
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Marco Facchin on alternatives to computationalism in neuroscience, and philosophy of cognitive science.

BI 243 Alison Barth: Learning as a Window to Cortex

BI 243 Alison Barth: Learning as a Window to Cortex

Brain Inspired
Brain Inspired
BI 243 Alison Barth: Learning as a Window to Cortex
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Alison Barth discovers how different neuron types contribute to cortical function.