Taming the chaos gently: a predictive alignment learning rule in recurrent neural networks
The study presents Predictive Alignment, a local learning rule for recurrent neural networks that aligns internal network predictions with feedback. This biologically inspired method tames chaos and enables robust learning of complex patterns.
