The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
Generative AI is all the rage and pushes past the trivial deep neural networks (DNNs) of yore. On the neural-network side, we have DNNs, artificial neural networks (ANNs), convolutional neural ...
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Backpropagation through time explained for RNNs
In this video, we will understand Backpropagation in RNN. It is also called Backpropagation through time, as here we are ...
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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