The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

A new mathematical model sheds light on how the brain processes different cues, such as sights and sounds, during decision making. The findings from Princeton neuroscientists may one day improve how ...

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations — it’s a triumph of your associative memory, in which one piece of information (the first few ...

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 ...

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