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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2017-06-24 10:20 |
Okinawa | Okinawa Institute of Science and Technology | Synchronization and stability of digital spiking neurons Hiroaki Uchida, Tomoki Hamaguchi, Toshimichi Saito (Hosei Univ.)  NC2017-15 |
The digital spiking neuron(DSN) is constructed by two shift-resistors connected by a wiring. Depending on the wiring pat... [more] | NC2017-15 pp.105-108 |
| CCS | 2016-11-04 11:15 |
Kyoto | Kyoto Sangyo Univ. (Musubiwaza Bldg.) | Unsupervised Learning with Spike-Timing Dependent Delay Learning Model Takashi Matsubara (Kobe Univ.) CCS2016-32 |
Precious timing of neuronal spikes is considered to play an important role in signal transmission and processing in cent... [more] | CCS2016-32 pp.13-16 |
| 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 |
| MBE, NC (Joint) |
2015-11-21 13:25 |
Miyagi | Tohoku University | Steady State Analysis of Digital Spike Maps Hiroki Yamaoka, Toshimichi Saito (Hosei Univ.) NC2015-41 |
This paper studies dynamic of digital spike maps: simple digital dynamical systems that can generate various periodic s... [more] |
NC2015-41 pp.25-29 |
| NLP, CAS | 2015-10-05 13:55 |
Hiroshima | Aster Plaza | Generation of disital spike-trains based on growing greedy search Kei Yamaoka, Toshimichi Saito (HU) CAS2015-27 NLP2015-88 |
This paper studies a simple evolutionary algorithm for synthesis of digital spiking neurons(DSNs). The DSN is based on... [more] |
CAS2015-27 NLP2015-88 pp.37-41 |
| CCS | 2015-08-06 13:45 |
Hokkaido | Dai-ichi Takimotokan (Noboribetsu, Hokkaido) | Parameter estimation of the spiking neuron model Hiroaki Kurokawa, Shunichi Komatsuzaki, Hideyuki Kato (Tokyo University of Technology) CCS2015-29 |
The complex network structure realizes various functions in biological neuronal systems. The investigation of the signal... [more] | CCS2015-29 pp.1-6 |
| 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 |
| MBE, NC (Joint) |
2014-12-13 13:00 |
Aichi | Nagoya University | Analysis of Digital Spike-Maps based on the Feature Quantity Plane Hiroki Yamaoka, Toshimichi Saito (Hosei Univ.) NC2014-50 |
This paper studies dynamic of digital spike maps: simple digital dynamical systems that can generate various periodic s... [more] |
NC2014-50 pp.37-42 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2014-06-26 15:25 |
Okinawa | Okinawa Institute of Science and Technology | Digital Spike-Phase Maps and Bifurcating Neuron with Double Inputs Hiroki Yamaoka, Toshimichi Saito (Hosei Univ.) NC2014-6 IBISML2014-6 |
This paper studies the degital spike phase maps that can generate various spike-trains. In order to consider the stead... [more] |
NC2014-6 IBISML2014-6 pp.97-100 |
| 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 | 2014-03-11 13:55 |
Tokyo | Sophia University | Digital Spike Maps based on the Bifurcating Neurons Hiroki Yamaoka, Narutoshi Horimoto, Toshimichi Saito (Hosei Univ.) NLP2013-184 |
This paper studies basic dynamics of a digital spike-phase map from a set of lattice points to itself. Depending on para... [more] | NLP2013-184 pp.111-115 |
| 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 |
| NLP | 2014-01-22 11:40 |
Hokkaido | Niseko Park Hotel | Analysis of a Dendritic Network Based on an Asynchronous Cellular Automaton Naoki Shimada (Osaka Univ.), Hiroyuki Torikai (Kyouto Sangyo Univ.) NLP2013-151 |
The neuron is roughly divided into three parts: soma, dendrite, and axon. In this paper, a multi-compartment neuron mod... [more] |
NLP2013-151 pp.117-122 |
| 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 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 | 2013-10-29 13:15 |
Kagawa | Sanport Hall Takamatsu | Basic Classification of Dynamics from Digital Spike Maps Toshimichi Saito, Narutoshi Horimoto (Hosei Univ.) NLP2013-99 |
This paper studies various transient- and steady-state spike-trains generated by the digital spike map: a simple digital... [more] | NLP2013-99 pp.153-157 |
| NLP | 2013-03-14 16:05 |
Chiba | Nishi-Chiba campus, Chiba Univ. | The dynamics on ring combination of three spiking neurons Sho Shibata, Yusuke Matsuoka (Yonago National College of Tech.) NLP2012-157 |
This report considers a pulse-coupled system by three spiking neurons. The dynamics of the neuron repeats self or comp... [more] |
NLP2012-157 pp.67-72 |
| NLP | 2013-03-15 13:20 |
Chiba | Nishi-Chiba campus, Chiba Univ. | A multi-compartment neuron model based on asynchronous cellular automaton Naoki Shimada, Hiroyuki Torikai (Osaka Univ.) NLP2012-168 |
As one of the neuron models based on asynchronous cellular automata, a resonate-and-fire digital spiking neuron (RDN) ha... [more] | NLP2012-168 pp.127-132 |
| MBE, NC (Joint) |
2013-03-13 13:20 |
Tokyo | Tamagawa University | A Proposal of Incremental Learning on Spiking Hopfield Network Hideaki Ikeda, Yukari Yamauchi (Nihon Univ.) NC2012-142 |
This research proposes Spiking Hopfield Network with input layer expanded from a research of SASAKI et al. It has a mech... [more] | NC2012-142 pp.49-54 |
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