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 ...

A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...

Ambuj Tewari receives funding from the NSF. If your jaw dropped as you watched the latest AI-generated video, your bank balance was saved from criminals by a fraud detection system, or your day was ...

An international team of scientists has uncovered neural mechanisms used in planning. Its results suggest that an interplay between the brain's prefrontal cortex and hippocampus allows us to imagine ...