Use of recurrent infomax to improve the memory capability of input-driven recurrent neural networks

Hisashi Iwade, Kohei Nakajima, Takuma Tanaka +1

The inherent transient dynamics of recurrent neural networks (RNNs) have been exploited as a computational resource in input-driven RNNs. However, the information processing capabi…