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All Technical Committee Conferences (Searched in: Recent 10 Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, MBE (Joint) |
2025-03-05 15:05 |
Tokyo | (Tokyo, Online) (Primary: On-site, Secondary: Online) |
Identification of Changes in Heart Rate Variability Complexity Reflecting Heart Rate Variability Biofeedback Yoshiki Yasuda, Souei Hashimoto, Isshu Wakita, Ayumu Ueno (Chiba Inst. of Tech.), Tomoaki Ishibashi, Tetsuya Takahashi (Fukui Univ.), Sou Nobukawa (Chiba Inst. of Tech.)  NC2024-65 |
Heart Rate Variability Biofeedback (HRVB) is considered effective for stress management; however, its neural mechanisms ... [more] | NC2024-65 pp.26-31 |
| NLP, CAS | 2024-10-17 14:50 |
Tottori | Information Center, Tottori University (Tottori) | Analysis of Synchronization Features in Excitatory-Inhibitory Neural Systems with Modulated E/I Balance Akio Sugawara (CIT), Nobuhiko Wagatsuma (TU), Keiichiro Inagaki (CU), Sou Nobukawa (CIT) CAS2024-39 NLP2024-69 |
The balance between excitatory and inhibitory neurons in the brain (E/I balance) significantly influences cognitive func... [more] | CAS2024-39 NLP2024-69 pp.64-69 |
| NLP, MSS | 2023-03-17 16:45 |
Nagasaki | (Nagasaki, Online) (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 | (Niigata, Online) (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 (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 (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 (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 (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 (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 (Tokyo) (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 (Tokyo) (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 (Tokyo) | 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. (Tokyo) | 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. (Tokyo) | 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 (Hyogo) | 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 |
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