Search Results for author: Hisashi Iwade

Found 1 papers, 0 papers with code

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

no code implementations14 Feb 2018 Hisashi Iwade, Kohei Nakajima, Takuma Tanaka, Toshio Aoyagi

The inherent transient dynamics of recurrent neural networks (RNNs) have been exploited as a computational resource in input-driven RNNs.

Cannot find the paper you are looking for? You can Submit a new open access paper.