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 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
(Joint) [detail]
Tokushima Naruto University of Education Optimization of synaptic scaling rule, its implementation on modular spiking neural networks and analysis of its affects
Takumi Shinkawa, Hideyuki Kato (Oita Univ.), Yoshitaka Ishikawa (FUN), Takuma Sumi, Hideaki Yamamoto (Tohoku Univ.), Yuichi Katori (FUN) NLP2023-107 MICT2023-62 MBE2023-53
In this study, to theoretically investigate the information processing mechanisms in the brain, we optimized synaptic sc... [more] NLP2023-107 MICT2023-62 MBE2023-53
NC, NLP 2023-01-29
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Predicting wind speed and direction using nature dynamics from movie data -- An example of computation harvesting --
Takumi Aita (Univ. of Tsukuba), Hiroyasu Ando (Tohoku Univ.), Yuichi Katori (Future University Hakodate) NLP2022-100 NC2022-84
 [more] NLP2022-100 NC2022-84
NC, NLP 2023-01-29
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Performance Evaluation of Reservoir Computing in Cultured Neural Systems Using a Spiking Neuron Model
Yoshitaka Ishikawa (Future Univ Hakodate), Takumi Shinkawa (Oita Univ), Takuma Sumi (Tohoku Univ), Hideyuki Kato (Oita Univ), Hideaki Yamamoto (Tohoku Univ), Yuichi Katori (Future Univ Hakodate) NLP2022-102 NC2022-86
The cultured nervous system can be regarded as a physical reservoir. Intracellular Ca2+ ion concentration is measured fr... [more] NLP2022-102 NC2022-86
NC, NLP 2023-01-29
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Continuous Value Control of Robot with Reservoir Actor-Critic Model
Koutaro Minato, Yuichi Katori (Future Univ Hakodate) NLP2022-103 NC2022-87
Deep learning is expected to be utilized to control robots operating in complex environments, but this requires a large ... [more] NLP2022-103 NC2022-87
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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