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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 35  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, NLP
(Joint)
2025-01-29
14:05
Osaka (Osaka) A Study on Image Memory and Recall of a Reservoir Computing with Hardware Random NN
Takito Iimura, Takuto Yamaguchi, Katsutoshi Saeki (Nihon University)
(To be available after the conference date) [more]
NC, MBE
(Joint)
2024-09-27
14:50
Miyagi Tohoku Univ. (Miyagi, Online)
(Primary: On-site, Secondary: Online)
Lightweight computation in inference of SNN models for LSI
Kei Sakamoto, Yuhei Kobayashi, Hiroto Kitani, Masahiro Iida (Kumamoto Univ) NC2024-35
Spiking neural networks (SNNs), which closely mimic the human brain, are currently attracting attention due to their hig... [more] NC2024-35
pp.17-22
NC, MBE
(Joint)
2024-09-27
15:15
Miyagi Tohoku Univ. (Miyagi, Online)
(Primary: On-site, Secondary: Online)
Evaluation of lightweight methods for SNN models using sound source localisation task
Hiroto Kitani, Kei Sakamoto, Masahiro Iida (Kumamoto Univ) NC2024-36
Spiking neural networks (SNNs), which mimic the neural activity of the brain, are used in biological research to elucida... [more] NC2024-36
pp.23-28
NC, MBE
(Joint)
2024-09-27
15:40
Miyagi Tohoku Univ. (Miyagi, Online)
(Primary: On-site, Secondary: Online)
Analog CMOS circuit implementation of STDP and its application to classification tasks
Yosuke Iida, Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato (Tohoku Univ) NC2024-37
STDP, a learning rule suitable for spiking neural networks, learns from local spike timing differences between neurons. ... [more] NC2024-37
pp.29-32
NLP, MSS 2023-03-17
15:25
Nagasaki (Nagasaki, Online)
(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 (Osaka, Online)
(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 (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 (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 (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
SDM 2018-01-30
15:00
Tokyo Kikai-Shinko-Kaikan Bldg. (Tokyo) [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 (Tokyo) 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 (Niigata) 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 (Tokyo) 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 (Okinawa) 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 (Hokkaido) 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) (Fukuoka) 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 (Shiga) 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 (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 (Tokyo) 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 (Tokyo) 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
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