Neural Network Models
Simon discusses how neural network models are built based on neurophysiological data from single or multi unit recordings in animal brains. He explains the discovery of spatial view cells and neurons encoding object positions in different body-centered frames of reference, shedding light on the brain's intricate workings.In this clip
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Machine Learning Street Talk (MLST)
#041 - Biologically Plausible Neural Networks - Dr. Simon Stringer
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