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14min chapter
BI 196 Cristina Savin and Tim Vogels with Gaute Einevoll and Mikkel Lepperød
Brain Inspired
Neuroscience Meets AI: Understanding Learning and Plasticity
This chapter explores the interplay between task-relevant information and synaptic plasticity, emphasizing local learning's role in behavior optimization. The discussion includes the tension between traditional AI approaches and biophysical models, the future of artificial general intelligence, and the evolving relationship between AI technology and neuroscience. The speakers express excitement about challenges and opportunities within this field, reflecting on how advances in AI could reshape neuroscience research goals.
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