title: Novelty-induced memory transmission between two nonequilibrium neural networks.
abstract: We treated the interactions between two nonequilibrium neural networks, each of which possesses memories that are different from those of the other. In this respect, we developed a kind of hetero interaction that is a crucial ingredient for assuring communication.We propose a new learning algorithm for assuring different neural activity in both the maintenance of own memories and the learning of other memories (which are different from own memories). We call it novelty-induced learning.
authors.affiliation: Research Center for Integrative Mathematics, Hokkaido University, Kita 12 Nishi 6, Kita-ku, Sapporo, 060-0812 Japan.
authors.forename: Yongtao
authors.initials: Y
authors.lastname: Li
authors.affiliation: Research Center for Integrative Mathematics, Hokkaido University, Kita 12 Nishi 6, Kita-ku, Sapporo, 060-0812 Japan ; Research Institute for Electronic Science, Hokkaido University, Sapporo, Japan.
authors.forename: Ichiro
authors.initials: I
authors.lastname: Tsuda
keywords: Chaotic dynamics; Memory transmission; Mutual understanding; Nonequilibrium neural network; Novelty-induced learning