This lecture explores the concept of perceptrons in neural network models of visual perception, focusing on the organization of neurons in layers, the flow of information, and the analogy with the visual system, particularly the primary visual cortex V1.
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By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.
Explores vision research, optic nerve regeneration, and bio-realistic models in the mouse visual cortex, focusing on optic nerve stimulation and visual learning.