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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, MSS | 2023-03-17 16:45 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Enhancement of functionality in Deep Echo State Network by optimizing leak rate Shuichi Inoue, Sou Nobukawa (CIT), Haruhiko Nishimura (UOH), Eiji Watanabe (NIBB), Teijiro Isokawa (UOH)  MSS2022-110 NLP2022-155 |
Deep echo state network (Deep-ESN) model consists of multiple reservoir layers, which can respond on layer-specific diff... [more] | MSS2022-110 NLP2022-155 pp.231-236 |
| CAS, NLP | 2022-10-20 16:10 |
Niigata | (Primary: On-site, Secondary: Online) |
Learning Method for Echo State Networks Constructed by Chaotic Neuron Models by Innate Training Yudai Ebato, Sou Nobukawa, Yusuke Sakemi (CIT), Takashi Kanamaru (kougakuin univ), Nina Sviridova (Tokyo Univ. of Science), Kazuyuki Aihara (UTokyo) CAS2022-26 NLP2022-46 |
Echo State Network (ESN) is a machine learning method that consists of an input layer, a layer of recurrent neural netwo... [more] | CAS2022-26 NLP2022-46 pp.35-40 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 11:45 |
Online | Online | Estimation of Cognitive Function by Multi-scale Entropy Analysis in EEG Signals Yuta Iinuma, Sou Nobukawa (CIT), Kimoko Mizukami (KU), Megumi Kawaguchi (FU), Yuji Tanaka (AMH), Masato Higashima (SH), Tetuya Takahashi (FU) NC2021-33 |
[more] | NC2021-33 pp.13-18 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 15:35 |
Online | Online | Dynamical Characteristics of Instantaneous-Frequency-Based Micro-State for EEG signals in Schizophrenia. Daiya Ebina, Sou Nobukawa (Chiba Institute of Technology), Mitsuru Kikuchi, Takashi Ikeda, Tetsuya Takahashi (Kanazawa Univ.) NC2021-34 |
[more] | NC2021-34 pp.19-23 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 16:00 |
Online | Online | Analysis of Functional Connectivity of EEG during Driving Masahiro Tsurushima, Sou Nobukawa (ChibaTech), Nobuhiko Wagatsuma (Toho Univ.), Inagaki Keiichiro (Chubu Univ.) NC2021-35 |
It is desirable to elucidate the functional whole brain network related to driving proficiency. In a previous study, we ... [more] | NC2021-35 pp.24-29 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-23 09:00 |
Online | Online | Complexity analysis for temporal patterns of pupil diameters in neural model for ADHD Hiraku Kumano (CIT), Sou Nobukawa (CIT/NCNP), Aya Shirama (NCNP), Tetsuya Takahashi (KU), Shigenobu Toda (SU) NC2021-38 |
As major pathology of ADHD, overactivity of the locus coeruleus (LC) related to inattention are known. Moreover, pupil ... [more] |
NC2021-38 pp.37-42 |
| NC, NLP (Joint) |
2021-01-22 13:55 |
Online | Online | Attentional modulation of spike synchrony in a disinihibition network model Nobuhiko Wagatsuma, Haruka Shimomura (Toho Univ.), Sou Nobukawa (CIT) NC2020-39 |
Recent computational study has reported that top-down attention mediated by feedback signals modulates the neuronal acti... [more] | NC2020-39 pp.40-44 |
| NC, MBE (Joint) |
2020-03-04 15:45 |
Tokyo | University of Electro Communications (Cancelled but technical report was issued) |
Spike synchrony and firing rates for Border Ownership selective neurons in a disinhibition network Haruka Shimomura (Toho Univ), Sou Nobukawa (CIT), Nobuhiko Wagatsuma (Toho Univ) NC2019-86 |
Border Ownership (BO) tells which side of a contour owns a border, and it plays a fundamental role for the figure-ground... [more] | NC2019-86 pp.61-64 |
| NC, MBE (Joint) |
2020-03-06 13:50 |
Tokyo | University of Electro Communications (Cancelled but technical report was issued) |
Controlling Chaos-Chaos Intermittency Synchronization by Reduced Region of Orbit Signals and Additive Stochastic Noise Sou Nobukawa (CIT), Nobuhiko Wagatsuma (Toho Univ.), Haruhiko Nishimura (Univ. of Hyogo) NC2019-111 |
Various types of synchronization phenomena have been reported in coupled chaotic systems. Recently, these applications h... [more] | NC2019-111 pp.201-206 |
| NC, MBE (Joint) |
2019-03-06 14:15 |
Tokyo | University of Electro Communications | Analysis of EEG for healthy elderly people with IQ and creativity scores Teruya Yamanishi (Fukui Univ. of Tech.), Kanji Ueno (Univ. of Fukui), Sou Nobukawa (Chiba Inst. of Tech.), Kouhei Yamamoto (JAIST), Haruhiko Nishimura (Univ. of Hyogo), Tetsuya Takahashi (Univ. of Fukui) MBE2018-112 |
Today, Japan became the most aging societies in the world. Lowering of brain functions of the elderly people is feared ... [more] |
MBE2018-112 pp.131-135 |
| MBE, NC (Joint) |
2018-03-13 15:05 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Analysis for Changes of Functional Connectivity in Aging by Phase Lag Index Sou Nobukawa, Toka Matsumoto (CIT), Mitsuru Kikuchi (Kanazawa Univ.), Yuji Wada, Tetsuya Takahashi (Univ. of Fukui) NC2017-86 |
Recent findings in neural network studies of the human brain support that brain function emerges from its topological fe... [more] | NC2017-86 pp.109-114 |
| CCS, NLP | 2016-06-13 10:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Analysis of Chaotic Resonance Induced by Orbital Instability with Attractor-Merging Type Sou Nobukawa (FUT), Haruhiko Nishimura (Univ. of Hyogo), Teruya Yamanishi (FUT) NLP2016-18 CCS2016-1 |
[more] | NLP2016-18 CCS2016-1 pp.1-4 |
| NLP | 2015-03-04 14:25 |
Hyogo | Hyogo Prefecture Citizens' Hall | Evaluation of Chaos Route and Signal Response in Izhikevich Neuron Model Sou Nobukawa (FUT), Haruhiko Nishimura (Univ. of Hyogo), Teruya Yamanishi (FUT), Jian-Qin Liu (NICT) NLP2014-156 |
Chaotic resonance (CR) in which the system responds to a weak signal by the effect of chaotic activities is known as one... [more] | NLP2014-156 pp.73-78 |
| MBE, NC (Joint) |
2014-07-26 15:45 |
Okayama | Okayama University | Evaluation of Chaotic Dynamics in Izhikevich Neuron Model using Lyapunov Exponent with Saltation Matrix Sou Nobukawa, Haruhiko Nishimura (Univ. of Hyogo), Teruya Yamanishi (Fukui Univ. of Tech.), Jian-Qin Liu (NICT) NC2014-18 |
[more] | NC2014-18 pp.7-13 |
| ITE-ME, EMM, IE, LOIS, IEE-CMN [detail] | 2011-09-21 09:00 |
Ehime | On the Signal Processing Methods for the Dynamic Control of the Internet in Terms of Complex Networks Jian-Qin Liu (NICT), Haruhiko Nishimura (Univ. of Hyogo), Hiroaki Umehara (NICT), Sou Nobukawa (Univ. of Hyogo) LOIS2011-24 IE2011-57 EMM2011-35 |
In this report, the signal processing methods for dynamic flow control of the Internet that is regarded as a complex net... [more] | LOIS2011-24 IE2011-57 EMM2011-35 pp.53-56 |
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| NLP | 2011-03-11 13:55 |
Tokyo | Tokyo University of Science | Analysis of Signal Transmission Efficiency in Coupled Inferior Olive Neurons Sou Nobukawa, Haruhiko Nishimura, Naofumi Katada (Univ. of Hyogo) NLP2010-190 |
Schweighofer et al. have demonstrated in computer simulation for their Hodgkin-Huxley(HH) type compartmental model that ... [more] | NLP2010-190 pp.153-158 |
| NLP | 2008-03-27 15:25 |
Hyogo | Noise-free Resonance in Chaotic Neural Systems Naofumi Katada, Sou Nobukawa, Haruhiko Nishimura (Univ. of Hyogo) NLP2007-162 |
Stochastic resonance (SR) is known as a phenomenon in which the presence of noise helps a nonlinear system in amplifying... [more] | NLP2007-162 pp.49-54 |
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| NC, MBE (Joint) |
2008-03-14 14:00 |
Tokyo | Tamagawa Univ | Chaotic Resonance in a FitzHugh-Nagumo Type Model of the Inferior Olieve Neuron Sou Nobukawa, Haruhiko Nishimura, Naofumi Katada (Univ. of Hyogo) NC2007-182 |
Recently, it was demonstrated by Schweighofer et al. in computer simulation for their compartmental model that chaotic i... [more] | NC2007-182 pp.415-420 |
| NLP, CAS | 2006-10-05 10:50 |
Osaka | Characteristic of Deterministic Resonance in Simple Chaotic Systems Haruhiko Nishimura, Sou Nobukawa, Naofumi Katada (Univ. of Hyogo) |
Stochastic resonance(SR) is known as a phenomenon in which the presence of noise helps a nonlinear system in amplifying ... [more] | CAS2006-38 NLP2006-61 pp.25-28 |
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