The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
Multi area RNN models fitted to in-vivo cortical activity predict behavioral changes induced by optogenetic perturbations, if biologically informed connectivity constraints on the optogenetically ...
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