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 |