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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 | 2013-03-15 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 |
| 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 |
| NC, NLP | 2013-01-25 14:10 |
Hokkaido | Hokkaido University Centennial Memory Hall | Development of a Spiking Neural Network System Consisting of a Dedicated Analog LSI Chip Controlled by an FPGA Michitaka Maeda, Frank Maldonado H., Takayuki Matsuo, Hideki Tanaka, Haichao Liang, Kenji Matsuzaka, Takashi Morie (Kyutech), Kazuyuki Aihara (Univ. of Tokyo) NLP2012-136 NC2012-126 |
Spiking neuron models, in which analog information is expressed by the timing of neuronal spike firing events, attract a... [more] | NLP2012-136 NC2012-126 pp.181-186 |
| 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, CAS | 2012-09-20 14:55 |
Kochi | Eikokuji Campus, University of Kochi | Basic dynamics of a pulse-coupled system with three spiking neurons Sho Shibata, Yusuke Matsuoka (YNCT) CAS2012-35 NLP2012-61 |
This paper introduces a pulse-coupled system including three spiking neuron models. The state of the spiking neuron ... [more] |
CAS2012-35 NLP2012-61 pp.31-36 |
| 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 |
| CAS, NLP | 2011-10-20 17:35 |
Shizuoka | Shizuoka Univ. | A spiking neuron model with a rectangular threshold Kenta Ohtsuka, Yusuke Matsuoka (YMCT) CAS2011-47 NLP2011-74 |
This paper considers a spiking neuron model with a rectangular threshold signal. The spiking neuron repeats an integrate... [more] | CAS2011-47 NLP2011-74 pp.85-88 |
| NC | 2011-10-20 14:25 |
Fukuoka | Ohashi Campus, Kyushu Univ. | A Spiking Neuron Device Consisting of Nanodisk Array Structures and CMOS Circuits Haichao Liang, Takashi Morie, Yilai Sun (Kyutech), Makoto Igarashi, Seiji Samukawa (Tohoku Univ.) NC2011-66 |
We propose an integrate-and-fire type spiking neuron device consisting of CMOS circuits and nanodisk array structures fa... [more] | NC2011-66 pp.125-129 |
| NC, NLP | 2011-01-25 13:20 |
Hokkaido | Hokakido Univ. | Excitabilities of generalized asynchronous digital spiking neuron model
-- Toward developing a field programmable neuron array -- Takashi Matsubara, Hiroyuki Torikai (Osaka Univ.) NLP2010-147 NC2010-111 |
A digital spiking neuron is a wired system of shift registers and it can exhibit various nonlinear dynamics of real neur... [more] | NLP2010-147 NC2010-111 pp.129-134 |
| NLP | 2010-10-28 11:20 |
Osaka | Osaka University Machikaneyama Hall | Analysis of self-organizing function based on synchronization phenomena of a pulse-coupled network Kai Kinoshita, Hiroyuki Torikai (Osaka Univ.) NLP2010-83 |
In this paper, we introduce a resonate-and-fire type spiking neuron model and analyze its stability of synchronization ... [more] |
NLP2010-83 pp.13-18 |
| NLP | 2010-10-28 14:50 |
Osaka | Osaka University Machikaneyama Hall | Fundamental analysis of a rotate-and-fire digital spiking neuron toward development of its learning algorithm Tetsuya Hishiki, Hiroyuki Torikai (Osaka Univ.) NLP2010-88 |
A rotate-and-fire digital spiking neuron is a wired system of shift registers that is suitable for electronic circuit im... [more] | NLP2010-88 pp.41-46 |
| NLP | 2009-11-13 11:25 |
Kagoshima | Approximation of unknown neuron dynamics by a discrete-state spiking neuron model
-- an approach toward neural prosthesis -- Sho Hashimoto, Hiroyuki Torikai (Osaka Univ) NLP2009-104 |
In this paper, we introduce a hybrid spiking neuron which is a discrete-state neuron model. The neuron is suitable for ... [more] |
NLP2009-104 pp.127-132 |
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| NLP | 2009-08-04 13:30 |
Kochi | Morphogenesis and retrieval in hippocampal network model with neurogenesis Yusuke Tabata, Masaharu Adachi (Tokyo Denki Univ.) NLP2009-57 |
The hippocampus is considered that it keeps short-term memories and participates in the fixation of long-term memory. Re... [more] | NLP2009-57 pp.71-76 |
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| NC, NLP | 2009-07-14 15:45 |
Nara | NAIST | Basic characteristics of SOM of spiking neurons Kai Kinoshita, Hiroyuki Torikai (Osaka Univ.) NLP2009-43 NC2009-36 |
In this paper, we introduce a resonate-and-fire type spiking neuron and analyze the responce to the periodic spike input... [more] | NLP2009-43 NC2009-36 pp.157-162 |
| NLP | 2009-03-10 13:25 |
Kyoto | Basic characteristic of Digital Spiking Neuron and its implementation Robert Detulong, Hiroyuki Torikai (Osaka Univ.) NLP2008-156 |
The Digital Spiking Neuron is a wired system of shift registers and it can change its properties by adjusting the wiring... [more] | NLP2008-156 pp.31-36 |
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| 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 |
| NLP | 2008-03-28 14:55 |
Hyogo | A spiking network of Hippocampal model including neurogenesis. Yusuke Tabata, Masaharu Adachi (Tokyo Denki Univ.) NLP2007-176 |
The hippocampus is considered that it keeps short-term memories and participates in the fixation of long-term memory. R... [more] |
NLP2007-176 pp.55-60 |
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