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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MSS, NLP (Joint) |
2018-03-13 13:00 |
Osaka | Doubly folded Neimark-Sacker bifurcation and two coexisting two-dimensional tori part 3 Tomoki Ikegami (Meiji Univ.), Munehisa Sekikawa (Utsunomiya Univ.), Nataliya Stankevich (SSTU), Naohiko Inaba, Tetsuro Endo (Meiji Univ.)  NLP2017-105 |
We study quasiperiodic bifurcations generated in a discrete dynamics generating three invariant tori. In our previous st... [more] | NLP2017-105 pp.19-24 |
|
| CCS | 2017-11-10 11:00 |
Osaka | Osaka Univ. | Design of Analog Electronic Circuit Neuron Model based on Bifurcations of Piecewise Constant Vector Field Chiaki Matsuda, Hiroyuki Torikai (Kyoto Sangyo Univ.) CCS2017-28 |
A piece-wise constant neuron model is an electronic circuit neuron model having a piece-wise constant vector field. By a... [more] | CCS2017-28 pp.39-43 |
| NLP | 2017-11-05 17:25 |
Miyagi | Research Institute of Electrical Communication Tohoku University | Reconstructing Bifurcation Diagrams of Chaotic neuron Using Extreme Learning Machine Yoshitaka Itoh, Masaharu Adachi (Tokyo Denki Univ.) NLP2017-74 |
In recent year, an extreme learning machine which is simple structure have been applied to various problems. As one of t... [more] | NLP2017-74 pp.53-58 |
| NLP, CAS | 2017-10-06 11:05 |
Niigata | Machinaka Campus Nagaoka | Complete synchronization of mixed-mode oscillations and MMO-incrementing bifurcations in two coupled driven BVP oscillators Katsuhiro Ogawa, Naohiko Inaba (Meiji Univ.), Hidetaka Ito, Hiroomi hikawa (Kansai Univ.), Kuniyasu Shimizu (Chiba Inst. Tech.), Tetsuro Endo (Meiji Univ.) CAS2017-35 NLP2017-60 |
In this study, we propose two weakly coupled BVP oscillators, each of which can generate mixed-mode oscillations (MMOs) ... [more] | CAS2017-35 NLP2017-60 pp.59-64 |
| NLP | 2017-07-14 14:25 |
Okinawa | Miyako Island Marine Terminal | Estimating Lyapunov Exponents for Reconstructed Two-dimensional Bifurcation Diagrams Yoshitaka Itoh, Masaharu Adachi (Tokyo Denki Univ.) NLP2017-46 |
We describe a method for reconstruction of two-dimensional bifurcation diagrams with Lyapunov exponents from only severa... [more] | NLP2017-46 pp.99-102 |
| NLP | 2017-05-12 09:30 |
Okayama | Okayama University of Science | Bifurcation of a homoclinic point in a simple piecewise linear dynamical system Yuu Miino, Tetsushi Ueta, Hiroshi Kawakami (Tokushima Univ.) NLP2017-15 |
In a certain case, a piecewise linear dynamical system shows rich nonlinear phenomena. In this study, we discuss the hom... [more] | NLP2017-15 pp.73-76 |
| NLP | 2017-05-12 09:55 |
Okayama | Okayama University of Science | Interspike interval characteristics of the chaotic spiking circuit with relaxation oscillation. Yusuke Matsuoka (NIT, Yonago College) NLP2017-16 |
This report considers the interspike interval (ISI) characteristic of the chaotic spiking circuit with relaxation oscill... [more] | NLP2017-16 pp.77-80 |
| NLP | 2017-05-12 16:00 |
Okayama | Okayama University of Science | Analysis of Constraint Phenomenon in an Electric Bouncing Ball Hiroaki Takahashi (Oita Univ.), Hiroyuki Asahara (Okayama Univ. of Sci.), Takuji Kousaka (Oita Univ.) NLP2017-27 |
The bouncing ball is the simplest impact system. In this paper, we analyze the bifurcation phenomena for a constrained p... [more] | NLP2017-27 pp.131-134 |
| NLP | 2016-12-12 14:00 |
Aichi | Chukyo Univ. | Various super-stable periodic orbits in an integrate-and-fire circuit with higher frequency sawtooth base signal Kazuya Sugita, Risa Takahashi, Toshimichi Saito (HU) NLP2016-86 |
This paper studies dynamics of a bifurcating neuron circuit. Applying sum of two sawtooth base signals of different fr... [more] |
NLP2016-86 pp.11-14 |
| NLP | 2016-09-14 14:30 |
Hyogo | Konan Univ. | Nonlinear phenomena observed in the piecewise hysteresis Duffing equation Yuu Miino, Tetsushi Ueta, Hiroshi Kawakami (Tokushima Univ.) NLP2016-50 |
Hysteresis property can be modeled as a piecewise linear function with the hybrid system approach. In this study, we mod... [more] | NLP2016-50 pp.31-36 |
| NLP | 2016-09-15 13:00 |
Hyogo | Konan Univ. | Bifurcation of chaos and circuit implementation of a discrete-time piecewise-rotational dynamical system Haru Hikita, Yoshikazu Yamanaka, Tadashi Tsubone (Nagaoka Univ. Tech.) NLP2016-58 |
In this study, we consider a Piecewise-Rotational Chaotic system(PRC) which is a simple nonlinear dynamical system.The s... [more] | NLP2016-58 pp.75-78 |
| 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 |
| NLP | 2016-09-15 13:50 |
Hyogo | Konan Univ. | Analysis of Super-stable Periodic Orbits in Piecewise Linear Bifurcating Neuron Circuits Risa Takahashi, Toshimichi Saito (Hosei Univ.) NLP2016-60 |
This paper studies dynamics of the bifurcating neuron circuit. Repeating integrate-and-fire behavior between a constan... [more] |
NLP2016-60 pp.83-87 |
| NLP | 2016-07-21 14:20 |
Hokkaido | Hokkaido Univ. Centennial Hall | Particle Swarm Optimization for Calculating Period Doubling Bifurcation Point in One-dimensional Discrete Time Dynamical Systems Yusho Tomimura (Oita Univ.), Hiroaki Kurokawa (Tokyo Univ. of Technology), Haruna Matsushita (Kagawa Univ.), Takuji Kousaka (Oita Univ.) NLP2016-35 |
In this paper, we propose the bifurcation point derivation method of one dimensional discrete-time dynamical systems usi... [more] | NLP2016-35 pp.9-12 |
| NLP | 2016-07-21 15:45 |
Hokkaido | Hokkaido Univ. Centennial Hall | Mixed-mode oscillation-incrementing bifurcations and universal constant from BVP oscillators Part 3 Naohiko Inaba (Meiji Univ.), Kuniyasu Shimizu (Chiba Inst. Tech.) NLP2016-38 |
Mixed-mode oscillations (MMOs) have been the subjects of intensive research in recent years. In this study, we analyze t... [more] | NLP2016-38 pp.21-26 |
| CCS, NLP | 2016-06-14 14:55 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Mixed-mode oscillation-incrementing bifurcations and universal constant from BVP oscillators Part 2 Naohiko Inaba (Meiji Univ.), Kuniyasu Shimizu (Chiba Inst. Tech.), Tri Quoc Truong, Tadashi Tsubone (Nagaoka Univ. of Tech.), Hiroyuki Asahara (Okayama Univ. of Sci.), Takuji Kousaka (Oita Univ.), Tetsuro Endo (Meiji Univ.) NLP2016-32 CCS2016-15 |
Mixed-mode oscillations (MMOs) have been studied extensively in recent years. In this study, we analyze a weakly driven... [more] |
NLP2016-32 CCS2016-15 pp.65-70 |
| NLP | 2016-05-27 09:25 |
Kochi | Kochi Univ. | Synchronized firing phenomena and bifurcation in coupled Izhikevich neuron model Yuu Miino, Tetsushi Ueta (Tokushima Univ.) NLP2016-11 |
In a coupled Izhikevich neuron model, there are some parameter regions where each neuron arises firing at the same time;... [more] | NLP2016-11 pp.51-56 |
| NLP | 2016-05-27 12:10 |
Kochi | Kochi Univ. | Controlling chaos and its stability analysis for Lorenz model with external force control Daisuke Ito (Univ. of Shiga Prefecture), Tetsushi Ueta (Tokushima Univ.) NLP2016-17 |
An external force controller, which is one of controlling chaos methods, gives the difference between objective trajecto... [more] | NLP2016-17 pp.83-86 |
| NLP | 2016-03-24 14:30 |
Kyoto | Kyoto Sangyo Univ. | Bifurcations of exciting states of a piecewise constant neuron model Sohei Takeda, Hiroyuki Torikai (Kyoto Sangyo Univ.) NLP2015-145 |
A piece-wise constant neuron model is a neuron model, the major nonlinearity of which is piece-wise constant functions. ... [more] |
NLP2015-145 pp.17-21 |
| NLP | 2016-03-24 16:25 |
Kyoto | Kyoto Sangyo Univ. | Mixed-mode oscillation-incrementing bifurcations and universal constant from BVP oscillators Naohiko Inaba (Meiji Univ.), Kuniyasu Shimizu (Chiba Inst. Tech.) NLP2015-149 |
Mixed-mode oscillations (MMOs) have been a subject of intensive research in recent years. Among several MMO-birucations,... [more] | NLP2015-149 pp.41-46 |
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