108 citations · 248 across the 19 of their papers we have counts for
19 papers
Suppression of chaos in a partially driven recurrent neural network
Shotaro Takasu, Toshio Aoyagi
The dynamics of recurrent neural networks (RNNs), and particularly their response to inputs, play a critical role in information processing. In many applications of RNNs, only a sp…
Extracting phase coupling functions between collectively oscillating networks directly from time-series data
Takahiro Arai, Yoji Kawamura, Toshio Aoyagi
Many real-world systems are often regarded as weakly coupled limit-cycle oscillators, in which each oscillator corresponds to a dynamical system with many degrees of freedom that h…
Interaction Mechanisms Quantified from Dynamical Features of Frog Choruses
Kaiichiro Ota, Ikkyu Aihara, Toshio Aoyagi
Interaction mechanism in the acoustic communication of actual animals is investigated by combining mathematical modeling and empirical data. Here we use a deterministic mathematica…
Phase description of chaotic oscillators
Takashi Imai, Hiromichi Suetani, Toshio Aoyagi
This paper presents a phase description of chaotic dynamics for the study of chaotic phase synchronization. A prominent feature of the proposed description is that it systematicall…
A role of asymmetry in linear response of globally coupled oscillator systems
Yu Terada, Keigo Ito, Ryosuke Yoneda +2
The linear response is studied in globally coupled oscillator systems including the Kuramoto model. We develop a linear response theory which can be applied to systems whose coupli…
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…