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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 18 of 18  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
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
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
 Results 1 - 18 of 18  /   
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