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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, MBE (Joint) |
2024-03-11 16:00 |
Tokyo | The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
An analysis of evoked-response dynamics with a simple synaptic plasticity model upon long-term depression in the auditory cortex
-- Exploration of major neurotransmitter receptors for an induction of depression -- Ryo Furukawa, Takashi Tateno (Hokkaido Univ.)  NC2023-47 |
In the context of neurotransmitter receptors within the central nervous system, the efficient selection in advance of ke... [more] | NC2023-47 pp.25-30 |
| NLP, MSS | 2023-03-15 15:15 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Hippocampal CA3 spiking neural network model for constructing never-experienced novel path sequences on a maze task Kensuke Takada, Katsumi Tateno (Kyushu Inst. Tech.) MSS2022-74 NLP2022-119 |
Hippocampal neurons that represent the animal's self-location are called "place cells." In the maze task in rodents, hip... [more] | MSS2022-74 NLP2022-119 p.64 |
| NC, MBE (Joint) |
2023-03-13 11:05 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
A mathematical model of competitive growth and pruning of dendritic spines in the postnatal development of neuronal receptive fields and orientation maps in the visual cortex Shigeru Tanaka, Masanobu Miyashita (NIT Numazu College) NC2022-92 |
In the cerebral cortex and hippocampus, synaptic contacts are made on axonal boutons rather than axon terminals, and syn... [more] | NC2022-92 pp.7-12 |
| MBE, NC (Joint) |
2018-11-22 13:45 |
Kyoto | Asymmetrical relationship between VOR and OKR gain adaptation Toshimi Yamanaka, Yusuke Shinji, Takumi Ikeda, Masayuki Matsuyama, Yutaka Hirata (Chubu Univ.) NC2018-23 |
(To be available after the conference date) [more] | NC2018-23 p.3 |
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| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2017-06-23 15:15 |
Okinawa | Okinawa Institute of Science and Technology | Artificial cerebellar neuronal network model for context dependent flexible motor learning Shogo Takatori, Keiichiro Inagaki, Yutaka Hirata (Chubu Univ.) NC2017-7 |
The vestibule-ocular reflex (VOR) has been one of the most popular model systems to investigate the role of the cerebell... [more] | NC2017-7 pp.15-20 |
| HIP | 2016-09-28 15:50 |
Nara | Artificial bihemispheric cerebellar network model to simulate VOR motor learning Keiichiro Inagaki, Yuaka Hirata (Chubu Univ.) HIP2016-60 |
The cerebellar flocculus is essential on the motor control. The vestibuloocular reflex (VOR), which maintains stable vis... [more] | HIP2016-60 pp.85-90 |
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| NC, MBE (Joint) |
2014-03-18 11:00 |
Tokyo | Tamagawa University | Active memory capacity in a neural network with short-term synaptic plasticity Kenji Tanaka (Univ. of Tokyo), Yasuhiko Igarashi (Univ. of Tokyo/JSPS), Masato Okada (Univ. of Tokyo/RIKEN) NC2013-105 |
In pre-frontal cortex (PFC), electro physiological experiments studies have established a link between the neuronal acti... [more] | NC2013-105 pp.97-102 |
| 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 |
| NC, MBE (Joint) |
2012-12-12 11:05 |
Aichi | Toyohashi University of Technology | Instabilities of spurious state with synaptic depression Shin Murata, Yosuke Otsubo, Kenji Nagata (Univ. of Tokyo), Masato Okada (Univ. of Tokyo/BSI RIKEN) NC2012-79 |
The associative memory model is one of typical neural network model and has equilibrium state called spurious state in w... [more] | NC2012-79 pp.31-36 |
| NC | 2012-07-31 13:15 |
Shiga | Ritsumeikan Univ. College of Information Science and Engineering | Stability Analysis of Stochastic Neural Network with Depression and Facilitation Synapses Yuichi Katori (JST, Univ. Tokyuo), Yasuhiko Igarashi (Univ. Tokyo), Masato Okada (Univ. Tokyo/RIKEN), Kazuyuki Aihara (Univ. Tokyo) NC2012-29 |
We investigate dynamical properties of a stochastic neural network model in which neurons are connected by dynamic synap... [more] | NC2012-29 pp.83-88 |
| NLP | 2012-01-24 09:20 |
Fukushima | Aizu-keiko-do Hall | Asynchronous sequential logic synapse model and its spike-timing dependent plasticity Takumi Uramoto, Hiroyuki Torikai (Osaka Univ.) NLP2011-134 |
We propose a synapse model which can exhibit a spike-timing dependent plasticity (STDP). Inspired by biophysical models,... [more] | NLP2011-134 pp.57-62 |
| NC, MBE (Joint) |
2011-03-07 15:25 |
Tokyo | Tamagawa University | A simulation study of visual perceptual learning with attentional signals Satoshi Naito, Naoto Yukinawa, Shin Ishii (Kyoto Univ.) NC2010-140 |
Our perceptual ability of arbitrary stimuli can be improved by continued training and exposures to the stimuli. This ex... [more] |
NC2010-140 pp.77-82 |
| 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, CAS | 2010-08-02 14:10 |
Tokushima | Naruto University of Education | Functional Connectivity Patterns Organized through STDP in Recurrent Networks Hideyuki Kato, Tohru Ikeguchi (Saitama Univ.) CAS2010-41 NLP2010-57 |
In this report, we investigated the functional connectivity in recurrent networks organized through spike-timing-depende... [more] | CAS2010-41 NLP2010-57 pp.43-48 |
| NC, MBE (Joint) |
2010-03-10 11:05 |
Tokyo | Tamagawa University | Improvement of the cerebellar spiking neuron network model and simulation of VOR motor learning. Seiichi Kobayashi (Chubu Univ.), Keiichiro Inagaki (RIKEN), Yutaka Hirata (Chubu Univ.) NC2009-120 |
The vestibuloocular reflex (VOR) is an adaptive motor control system that maintains compensatory eye movements when grow... [more] | NC2009-120 pp.191-196 |
| NC, MBE (Joint) |
2009-12-11 16:35 |
Aichi | On a computational method for the extraction of the critical signal transduction pathways out of the large-scale molecular network in the postsynaptic plasticity of striatal medium spiny neurons Yousuke Inui (Osaka Univ), Takashi Tateno (Osaka Univ/JST) NC2009-68 |
In this study, we aimed at understanding complex interactions between molecules in a large-scale molecular network in th... [more] | NC2009-68 pp.31-36 |
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| NC, MBE (Joint) |
2008-03-14 13:40 |
Tokyo | Tamagawa Univ | Temporal and Operant Learning Models by Neural System Yukifumi Shigematsu (Ehime Univ.) NC2007-193 |
Brain or central nerve system is a kind of information processing system which is differ from artificial computer one. A... [more] | NC2007-193 pp.479-484 |
| NC | 2007-03-14 14:30 |
Tokyo | Tamagawa University | Filtering properties of short-term plasticity in the local neural network Yasunobu Igarashi (Tohoku Univ.), Naoki Honda (NAIST), Koichi Hashimoto (Tohoku Univ.) |
(To be available after the conference date) [more] | NC2006-126 pp.49-54 |
| NC | 2006-05-26 13:00 |
Miyagi | Tohoku Univ. | Statistical testing of neuronal connectivity based on spike correlation analysis Norihiro Katayama, Osamu Kikuchi, Akihiro Karashima, Mitsuyuki Nakao (Tohoku Univ.) |
Cross-correlation histogram (CCH) of simultaneously recorded multiple neuronal activities has widely been used to decide... [more] | NC2006-1 pp.1-6 |
| MBE | 2005-10-14 14:50 |
Osaka | Process of network self-organization in a spike-timing-dependent plasticity neural circuit Shohei Yamada, Norihiro Katayama, Akihiro Karashima, Mitsuyuki Nakao (Tohoku Univ.) |
The synaptic plasticity dependent on the order and time interval of pre- and postsynaptic spikes (spike timing-dependent... [more] | MBE2005-78 pp.41-44 |
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