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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, MSS | 2023-03-17 15:25 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Chaotic Response of Hardware Small World Neural Network with STDP Takuto Yamaguchi, Katsutoshi Saeki, Yoshiki Sasaki (Nihon Univ.)  MSS2022-106 NLP2022-151 |
The role of chaotic activity in the brain function is still unclarified. However, it is possible to estimate the role by... [more] | MSS2022-106 NLP2022-151 pp.210-213 |
| CCS, NLP | 2022-06-09 15:45 |
Osaka | (Primary: On-site, Secondary: Online) |
Reservoir computing with spiking neural networks and reward-modulated STDP Takayuki Tsurumi, Gouhei Tanaka (UTokyo) NLP2022-7 CCS2022-7 |
In a previous study, it was verified that tasks requiring nonlinearity and working memory can be performed using reward-... [more] | NLP2022-7 CCS2022-7 pp.31-35 |
| MSS, NLP | 2022-03-28 15:45 |
Online | Online | Analysis on development process of neural networks with different internal states Sho Shimizu, Hideyuki Kato (Oita Univ.) MSS2021-67 NLP2021-138 |
It has been reported that fluctuations have positive effects, are extensively studied, in neuronal computation and infor... [more] | MSS2021-67 NLP2021-138 pp.61-66 |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-29 15:20 |
Online | Online | Unsupervised learning based on local interactions between reservoir and readout neurons Tstuki Kato, Satoshi Moriya, Hideaki Yamamoto, Masao Sakuraba, Shigeo Sato (Tohoku Univ.) NC2020-12 |
Reservoir computing is suitable for implementations in edge computing devices thanks to its low computational cost and e... [more] | NC2020-12 pp.21-23 |
| MBE, NC (Joint) |
2018-11-22 14:30 |
Kyoto | Controlling of Working Memory by Synchronization of Oscillatory Activity in Inhibitory Neurons Kentaro Hayashida, Yasuhiro Tsubo (Ritsumeikan Univ.) NC2018-25 |
Working memory (WM) is a neural storage system which retains information temporarily. Some studies have claimed that WM ... [more] | NC2018-25 pp.11-16 |
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| SDM | 2018-01-30 15:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | [Invited Talk]
STDP synapse with outstanding stability based on a novel insulator-to-metal transition FET Pablo Stoliar (nanoGUNE), Alejandro Schulman, Ai Kitoh, Akihito Sawa, Isao H. Inoue (AIST) SDM2017-95 |
We have developed an ultra-stable spike-timing-dependent plasticity (STDP) synapse based on a unique field-effect transi... [more] | SDM2017-95 pp.17-20 |
| MBE, NC (Joint) |
2016-03-22 11:00 |
Tokyo | Tamagawa University | An STDP control circuit and its evaluation using a Cu-MoOx-Al resistance change memory fabricated on a Si MOSFET Kazumasa Tomizaki, Takashi Morie, Hideyuki Ando (Kyushu Inst. Tech.), Atsushi Fukuchi, Masashi Arita, Yasuo Takahashi (Hokkaido Univ.) NC2015-70 |
With the progress of practical implementation of deep learning in neural networks, high-speed and low-power neural hardw... [more] | NC2015-70 pp.7-12 |
| NLP | 2014-11-07 11:00 |
Niigata | TsubameSanjo Regional Industries Promotion Center | On an asynchronous bifurcation processor type spike timing dependent plasticity model Kanata Isobe, Hiroyuki Torikai (Kyoto Sangyo Univ.) NLP2014-93 |
Spike-timing-dependent plasticity (STDP) is a form of synaptic modification that depends on the relative timings of pres... [more] | NLP2014-93 pp.67-72 |
| NC, MBE (Joint) |
2014-03-18 10:40 |
Tokyo | Tamagawa University | Recalling reversal and spread-out spike patterns can be realized in a recurrent network. Keita Sato, Ryota Miyata, Toru Aonishi (Tokyo Inst. of Tech.) NC2013-104 |
Recent experimental findings suggest that the hippocampal network including CA1 and CA3 regions stores spatio-temporal s... [more] | NC2013-104 pp.91-96 |
| NC, IPSJ-BIO | 2013-06-28 10:30 |
Okinawa | Okinawa Institute of Science and Technology | Optimal pairs of coupling function and STDP window function for auto-associative memory Ryota Miyata, Keita Sato, Toru Aonishi (Tokyo Inst. of Tech.) NC2013-6 |
From the computational viewpoint, Lengyel et al. (2005) derived an optimal auto-associative memory algorithm to store an... [more] | NC2013-6 pp.101-106 |
| 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 | 2012-10-05 10:00 |
Fukuoka | Kyushu Institute of Technology (Wakamatsu Campus) | The modulation of long-term depression affecting distance-dependent synaptic weight distribution and directional spike propagation in a recurrent network Toshikazu Samura, Eriko Sugisaki, Yutaka Sakai (Tamagawa Univ.), Hatsuo Hayashi (KYUTECH), Takeshi Aihara (Tamagawa Univ.) NC2012-49 |
A recurrent network where excitatory and inhibitory neurons are mutually connected causes spike propagation when excitat... [more] | NC2012-49 pp.73-78 |
| NC | 2012-07-31 13:40 |
Shiga | Ritsumeikan Univ. College of Information Science and Engineering | Characteristics Prediction of Synaptic Modification in the Hippocampal CA1 Network by Mutual information maximization
-- Reverse Replay and Temporally Structured Replay Cases -- Ryota Miyata (Tokyo Tech.), Keisuke Ota (RIKEN), Toru Aonishi (Tokyo Tech.) NC2012-30 |
It has been reported that reverse replay and temporally-structured replay of ensemble spiking patterns occur during both... [more] | NC2012-30 pp.89-94 |
| NC, IPSJ-BIO | 2012-06-28 14:15 |
Okinawa | OIST, Okinawa | Characteristics Prediction of Synaptic Modification in the Hippocampal CA1 Network by Mutual information maximization Ryota Miyata (Tokyo Tech.), Keisuke Ota (RIKEN), Toru Aonishi (Tokyo Tech.) NC2012-10 |
We employ a top-down approach to finding optimal neural implementations for executing a computation of the hippocampal C... [more] | NC2012-10 pp.53-58 |
| MBE, NC (Joint) |
2012-03-14 10:40 |
Tokyo | Tamagawa University | The influence of two synaptic inputs on STDP for hippocampal CA1 neurons Yukihiro Ito, Toshiya Iwai (Nihon Univ.) NC2011-122 |
Recently, physiological experiments investigate interaction among inputs on the dendrite of hippocampus CA1 pyramidal ne... [more] | NC2011-122 pp.5-9 |
| MBE, NC (Joint) |
2012-03-15 10:40 |
Tokyo | Tamagawa University | Demonstration of the STDP function in a ferroelectric-gate field-effect transistor-based synaptic device Yu Nishitani, Yukihiro Kaneko, Michihito Ueda (Panasonic), Takashi Morie (Kyushu Inst. of Tech.), Eiji Fujii (Panasonic) NC2011-156 |
[more] | NC2011-156 pp.203-207 |
| 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 | 2010-10-23 14:30 |
Fukuoka | Kyushu Inst. Tech. (Kitakyushu Sci. and Res. Park) | A ReRAM-based Analog Synaptic Device exhibiting Spike-Timing-Dependent Plasticity Nobuo Akou, Tetsuya Asai (Hokkaido Univ.), Takeshi Yanagida, Tomoji Kawai (Osaka Univ.), Yoshihito Amemiya (Hokkaido Univ.) NC2010-46 |
We propose a STDP synaptic device that employs a resistive RAM (ReRAM). The device is a CMOS-ReRAM-hybrid circuit that c... [more] | NC2010-46 pp.23-28 |
| NLP | 2009-11-13 11:05 |
Kagoshima | Gating Function of Synapses Located in the Distal and Middle Dendrites of the Dentate Granule Cell Having the Property of the Spike-Timing-Dependent Synaptic Plasticity Hatsuo Hayashi, Yukihiro Nonaka (Kyushu Inst. of Tech.) NLP2009-103 |
Non-spatial information is transmitted from the lateral entorhinal cortex to the dentate gyrus through the lateral perfo... [more] | NLP2009-103 pp.121-126 |
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| NLP | 2009-11-13 11:45 |
Kagoshima | Anisotropic Spike Propagation by STDP and Inhibition in a Recurrent Network. Toshikazu Samura, Hatsuo Hayashi (Kyushu Inst. of Tech.) NLP2009-105 |
In the area CA1, spikes propagate along the longitudinal axis of the hippocampus. It is highly possible that the propa... [more] |
NLP2009-105 pp.133-138 |
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