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.
Maxim Raginsky discusses how control theory can help explain artificial and natural intelligence and autonomy.
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.
Marco Facchin on alternatives to computationalism in neuroscience, and philosophy of cognitive science.
Alison Barth discovers how different neuron types contribute to cortical function.