Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CCS |
2023-11-12 10:25 |
Toyama |
Toyama Prefectural University |
Analysis of a simple network topology for optimizer based on spiking-neural oscillator networks Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) CCS2023-34 |
Optimizer based on Spiking Neural-oscillator Networks (OSNNs) are one of the deterministic PSO methods, which are based ... [more] |
CCS2023-34 pp.53-57 |
CCS |
2022-11-18 16:00 |
Mie |
(Primary: On-site, Secondary: Online) |
Investigation for the coupling interactions in swarm intelligence algorithm based on spiking neural-oscillator networks Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) CCS2022-60 |
Optimizer based on Spiking Neural-oscillator Networks (OSNNs) are deterministic swarm intelligence algorithms which intr... [more] |
CCS2022-60 pp.85-90 |
CCS, NLP |
2022-06-10 15:55 |
Osaka |
(Primary: On-site, Secondary: Online) |
Swarm intelligence algorithm based on spiking neural-oscillator networks, coupling interactions and solving performances Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) NLP2022-22 CCS2022-22 |
Optimizer based on spiking neural-oscillator networks (OSNN) are one of the deterministic swarm intelligence
algorithms... [more] |
NLP2022-22 CCS2022-22 pp.111-116 |
SR |
2022-05-13 13:30 |
Tokyo |
NICT Koganei (Primary: On-site, Secondary: Online) |
[Invited Talk]
Computation with optical parametric oscillator networks Hiroki Takesue, Takahiro Inagaki, Kensuke Inaba, Takuya Ikuta, Yasuhiro Yamada, Yuya Yonezu, Toshimori Honjo (NTT) SR2022-15 |
We present our recent effort to realize computations that efficiently solve difficult problems such as combinatorial opt... [more] |
SR2022-15 pp.67-69 |
NLP |
2021-12-17 10:00 |
Oita |
J:COM Horuto Hall OITA |
Basic performances of a swarm intelligence algorithm based on spiking oscillator networks Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) NLP2021-43 |
Spiking oscillator networks are simply coupling systems of plural spiking oscillators, which generate various synchroniz... [more] |
NLP2021-43 pp.1-6 |
NLP, MSS (Joint) |
2019-03-15 10:50 |
Fukui |
Bunkyo Camp., Univ. of Fukui |
Realization of coupled maps by chaotic spiking oscillators Tran Pham Anh Chuong, Tadashi Tsubone (Nagaoka Univ. of Tech.) NLP2018-133 |
In this report, we consider a simple nonlinear system, chaotic spiking oscillator, whose system exhibits various bifurca... [more] |
NLP2018-133 pp.47-50 |
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 |
MBE, NC (Joint) |
2012-11-17 15:20 |
Miyagi |
Tohoku University |
Analysis of Spike-Signals by Recurrence Plot: Example of Chaotic Spiking Oscillator Kazuki Yotsuji, Toshimichi Saito (HU) NC2012-72 |
This paper studies analysis two tools of spike-trains from continuous-time chaotic siking oscillators.
The first one i... [more] |
NC2012-72 pp.63-67 |
NLP |
2012-07-06 09:45 |
Kagoshima |
Kagoshima Sangyou Hall |
A Basic Study on Particle Swarm Optimization Based on Chaotic Spiking Oscillator Dynamics Yoshikazu Yamanaka, Tadashi Tsubone (Nagaoka Univ. of Tech.) NLP2012-48 |
In this study, we propose the particle swarm optimization based on chaotic spiking oscillator dynamics(CSOPSO). Our met... [more] |
NLP2012-48 pp.59-64 |
NLP |
2012-01-24 10:10 |
Fukushima |
Aizu-keiko-do Hall |
Analysis of chaotic spiking oscillators that fire depending on state and time Kazuki Yotsuji, Satoshi Imai (HU), Kunihiko Mitsubori (Takushoku Univ.), Toshimichi Saito (HU) NLP2011-136 |
This paper studies chaotic spiking oscillators controlled by impulsive switching depending on both time and state.
If ... [more] |
NLP2011-136 pp.69-73 |
NLP |
2011-12-15 14:50 |
Aomori |
Iwaki Hall AB, Hirosaki Univ. |
Bifurcation of Inter-Spike-Interval Density of Piecewise-Constant Chaotic Spiking Oscillator with Dead-Time Takahiro Aoki, Tadashi Tsubone (Nagaoka Univ. of Tech.) NLP2011-121 |
In this report, we consider inter-spike-interval (abbr. ISI)density of a chaotic spiking oscillator (abbr. CSO) with pie... [more] |
NLP2011-121 pp.25-30 |
NC |
2008-11-08 13:00 |
Saga |
Saga Univ. |
[Invited Talk]
Brain-inspired Integrated Systems with Time-domain Information Processing Takashi Morie, Hideki Tanaka, Daisuke Atuti, Keisuke Korekado, Kazuki Nakada (Kyushu Inst. of Tech.) NC2008-68 |
We have proposed merged analog-digital circuit architecture, which can perform multiply-and-accumulation and arbitrary n... [more] |
NC2008-68 pp.55-60 |
NC, NLP |
2008-06-27 13:40 |
Okinawa |
University of the Ryukyus |
Leaky Spiking Oscillator with Multiple Periodic Inputs Toru Nishigami, Hiroyuki Torikai (Osaka Univ.) NC2008-23 |
A leaky spiking oscillator having two periodic inputs can generate various spike-trains depending on the inputs. In this... [more] |
NC2008-23 pp.59-63 |
NLP |
2008-03-27 15:50 |
Hyogo |
|
Stabilizing Unknown Steady State of Discrete-time Chaotic Systems Tadashi Tsubone, Kenichi Kurimoto, Yasuhiro Wada (Nagaoka Univ. of Tech.) NLP2007-163 |
An control method with dynamic state for stabilizing unknown unstable fixed points of nonlinear systems is introduced. T... [more] |
NLP2007-163 pp.55-60 |
NC |
2007-03-14 14:00 |
Tokyo |
Tamagawa University |
An estimation method of phase-response curves in neural oscillators and an analysis for their oscillatory stability Masanori Ato (Osaka Univ,), Takashi Tateno (Osaka Univ.) |
Recently, in the somatosensory cortex, the details of neural connections formed by several types of GABAergic interneuro... [more] |
NC2006-125 pp.43-48 |
NLP |
2005-01-25 13:30 |
Kagawa |
Kagawa Univ. |
Pulse-coupled neuron circuits with triangular inputs and bifurcation phenomena Yoshio Kon'no, Toshimichi Saito, Hiroyuki Torikai (Hosei Univ.) |
This paper studies basic dynamics of pulse-coupled two bifurcating neurons with triangular base signal. The dynamics of ... [more] |
NLP2004-105 pp.33-37 |