O. Barak

Moving beyond linear summation to infer interaction order from neural and biological dynamics.

We introduce the three-body recurrent neural network (TBRNN), a recurrent model that explicitly incorporates quadratic, three-body interactions. We show that TBRNNs are universal approximators and extend low-rank recurrent neural network (RNN) theory to derive a corresponding low-rank TBRNN framework, allowing model ra...