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 ...
A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback