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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 46  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MSS 2023-03-17
15:25
Nagasaki
(Primary: On-site, Secondary: Online)
Chaotic Response of Hardware Small World Neural Network with STDP
Takuto Yamaguchi, Katsutoshi Saeki, Yoshiki Sasaki (Nihon Univ.) MSS2022-106 NLP2022-151
The role of chaotic activity in the brain function is still unclarified. However, it is possible to estimate the role by... [more] MSS2022-106 NLP2022-151
pp.210-213
MBE, NC
(Joint)
2021-10-28
15:55
Online Online A Study on Improvement Learning Performance with Chaos Neurons
Renshi Nagasawa, Masahiro Nakagawa (NUT) NC2021-23
In the backpropagation method in neural networks, the problem is that the energy converges to the local minimum. On the... [more] NC2021-23
pp.28-33
NC, MBE
(Joint)
2021-03-05
13:00
Online Online The Relation between Sensitivity and Maximum Lyapunov Exponent when Sensitivity Adjustment Learning is Applied to Layered Recurrent Neural Networks
Takuya Ejima, Yuuki Tokumaru, Kastunari Shibata (Oita Univ.) NC2020-69
We have proposed a local learning method named "sensitivity adjustment learning (SAL)". The sensitivity, which is adjust... [more] NC2020-69
pp.151-156
MBE, NC
(Joint)
2018-03-14
10:50
Tokyo Kikai-Shinko-Kaikan Bldg. Effect of floating point precision on dynamics of membrane potential in neuronal simulation
Kazuhisa Fujita (NIT, Tsuyama Col./ UEC), Yoshiki Kashimori (UEC) NC2017-90
In recent years, a large-scale simulation and a real-time simulation of the neural system has been extensively attempted... [more] NC2017-90
pp.133-138
NLP 2017-05-11
14:05
Okayama Okayama University of Science Learning of Neural Network with Coupled Chaotic Map
Shu Sato, Chihiro Ikuta, Yuichi Nakamura (NIT, Anan College), Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2017-9
In recent years, research on neural networks has been actively conducted. Neural network refers to the human brain netwo... [more] NLP2017-9
pp.43-46
NLP 2016-09-15
13:25
Hyogo Konan Univ. Implementation circuit of a spiking neuron having two slopes of the state and triangular base signal
Yusuke Matsuoka (NIT Yonago College) NLP2016-59
This report considers a spiking neuron having two slopes of the state and triangular base signal. The state has two kind... [more] NLP2016-59
pp.79-82
MBE, BioX, NC 2015-10-25
13:40
Osaka Osaka Electro-Communication University Bifurcation phenomena of the Ising network with a bipolar logistic chaos neuron
Daisuke Ito (Univ. of Shiga Prefecture), Yu Miino, Tetsushi Ueta (Tokushima Univ.) BioX2015-32 MBE2015-43 NC2015-27
The Ising network can be considered as the simple NP-complex problem model. Recent years, a coherent Ising machine using... [more] BioX2015-32 MBE2015-43 NC2015-27
pp.59-62
NLP 2015-04-24
11:15
Kagawa Kagawa Social Welfare Center Analysis of the Bifurcating Neuron with Two Triangular Base Signal Inputs
Risa Takahashi, Yusaku Yanase, Toshimichi Saito (Hosei Univ.) NLP2015-17
This paper studies dynamics of the bifurcating neuron with two periodic base signal inputs. The first input is triangula... [more] NLP2015-17
pp.77-80
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
NLP, CAS 2014-10-17
11:15
Ehime Ehime University Phenomena on 2-coupled neuron model with an external harmonic force
Yuu Miino, Daisuke Ito, Tetsushi Ueta (Univ. of Tokushima) CAS2014-75 NLP2014-69
Recently, to simulate the behavior of neuron’s action, the mathematical model called neuron model is well used. There ar... [more] CAS2014-75 NLP2014-69
pp.119-123
NLP 2014-07-21
14:55
Hokkaido Hakodate City Central Library Solving Ability of Lin-Kernighan Method Driven by Chaotic Dynamics for Traveling Salesman Problems
Takahiro Mitsuoka, Mikio Hasegawa (Tokyo Univ. of Science) NLP2014-35
Effectiveness of chaos for optimization has been shown by many previous researches. In this paper, a chaotic search base... [more] NLP2014-35
pp.23-26
NC, MBE
(Joint)
2014-03-18
10:00
Tokyo Tamagawa University Analysis of Bifurcation Phenomena in Simple Pulse-coupled Spiking Circuits
Shota Kirikawa, Toshimichi Saito (Hosei Univ.) NC2013-102
This paper studies a simple pulse-coupled spiking neuron with filtered base signal.
The dynamics depends crucially on ... [more]
NC2013-102
pp.81-84
NLP 2014-03-10
13:30
Tokyo Sophia University Analysis of chaotic response in the Izhikevich neuron model using nonlinear prediction
Nozomi Sugiura, Kantaro Fujiwara, Tohru Ikeguchi (Saitama Univ.) NLP2013-170
The Izhikevich neuron model is a mathematical model that can reproduce various neural firing patterns, such as regular s... [more] NLP2013-170
pp.31-36
NLP 2014-01-22
11:00
Hokkaido Niseko Park Hotel Analysis of Bifurcation of Simple Spiking Neuron Model with Filters
Shota Kirikawa, Toshimichi Saito (Hosei Univ.) NLP2013-149
This paper studies a simple spiking neuron with filtered base signal.
The dynamics depends crucially on the shape of t... [more]
NLP2013-149
pp.107-110
NC, MBE
(Joint)
2013-12-21
14:20
Gifu Gifu University Response of Simple Bifurcating neurons to plural inputs
Yusaku Yanase, Shota Kirikawa, Toshimichi Saito (HU) NC2013-63
This paper studies a simple spiking neuron model with double inputs. The double inputs are applied as the base signal fo... [more] NC2013-63
pp.59-62
NLP 2013-12-06
12:40
Overseas City University of Hong Kong Estimation of Lyapunov exponents of chaotic response in the Izhikevich neuron model
Nozomi Sugiura, Kantaro Fujiwara (Saitama Univ.), Ryosuke Hosaka (Fukuoka Univ.), Kenya Jin'no (NIT), Tohru Ikeguchi (Saitama Univ.) NLP2013-113
The Izhikevich neuron model is a mathematical neuron model that can reproduce various neural firing patterns, such as re... [more] NLP2013-113
pp.1-6
NLP 2013-12-06
13:30
Overseas City University of Hong Kong Basic Analysis of Hyperchaotic Circuit with Time and State Dependent Switches
Kazuki Yotsuji, Toshimichi Saito (Hosei Univ.) NLP2013-115
This paper studies a continuous-time non-autonomous hyperchaotic circuit.
The circuit has firing switches depending on... [more]
NLP2013-115
pp.13-16
NLP 2013-07-08
14:55
Okinawa Miyako Island Marine Terminal Chaotic response of the Izhikevich neuron model and its statistical analysis
Nozomi Sugiura, Kantaro Fujiwara (Saitama Univ.), Ryosuke Hosaka (Fukuoka Univ.), Tohru Ikeguchi (Saitama Univ.) NLP2013-34
The Izhikevich neuron model is a mathematical model that can reproduce various neural firing patterns, such as regular s... [more] NLP2013-34
pp.43-48
NC, NLP 2013-01-24
17:40
Hokkaido Hokkaido University Centennial Memory Hall Bifurcation of Simple Spiking Neuron Model with Filters
Shota Kirikawa, Toshimichi Saito (Hosei Univ.) NLP2012-123 NC2012-113
This paper studies a simple spiking neuron with filtered base signal.
The base signal is made by applying two kinds of... [more]
NLP2012-123 NC2012-113
pp.111-114
NC, NLP 2013-01-25
13:50
Hokkaido Hokkaido University Centennial Memory Hall Analysis of Spike-trains from Non-autonomous Chaotic Spiking Oscillators
Kazuki Yotsuji, Toshimichi Saito (Hosei Univ.) NLP2012-135 NC2012-125
This paper studies spike-trains from continuous-time non-autonomous chaotic spiking oscillators.
The spiking oscillator... [more]
NLP2012-135 NC2012-125
pp.175-179
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