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Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2022-06-29
(Primary: On-site, Secondary: Online)
Optimization of recurrent neural network structure by controlling symmetry of weight matrix
Arisa Fujimoto, Hideaki Yamamoto, Satoshi Moriya (Tohoku Univ.), Keita Tokuda (Tsukuba Univ.), Yuichi Katori (Future Univ. Hakodate), Shigeo Sato (Tohoku Univ.) NC2022-26 IBISML2022-26
In this study, we investigated the relationship between the strength of symmetry in a Gaussian random matrix of a recurr... [more] NC2022-26 IBISML2022-26
Online Online Natural Language Processing using Reservoir Computing
Shuya Kawamura, Yuichi Katori (FUN) NLP2020-46
 [more] NLP2020-46
NLP 2019-09-24
Kochi Eikokuji Campus, University of Kochi Reservoir Computing using Coupled Stuart-Landau Oscillators
Shoya Nakajima, Yuichi Katori (FUN) NLP2019-54
Reservoir computing is a framework of recurrent neural network that learns time series, and is used in various research ... [more] NLP2019-54
NC 2012-07-31
Shiga Ritsumeikan Univ. College of Information Science and Engineering Stability Analysis of Stochastic Neural Network with Depression and Facilitation Synapses
Yuichi Katori (JST, Univ. Tokyuo), Yasuhiko Igarashi (Univ. Tokyo), Masato Okada (Univ. Tokyo/RIKEN), Kazuyuki Aihara (Univ. Tokyo) NC2012-29
We investigate dynamical properties of a stochastic neural network model in which neurons are connected by dynamic synap... [more] NC2012-29
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