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4min chapter
BI 195 Ken Harris and Andreas Tolias with Gaute Einevoll and Mikkel Lepperød
Brain Inspired
Deep Learning in Brain Cognition
This chapter examines the integration of deep learning techniques in understanding brain function and cognition, focusing on contextual modulation in the visual cortex. It discusses the development of a Bayesian model to explain visual processing, the evolution of interpretative models, and the impact of serendipity on scientific discoveries.
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