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 AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback