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 ...

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 ...

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