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 ...

In this video, we will understand Backpropagation in RNN. It is also called Backpropagation through time, as here we are ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...