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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 23  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE
(Joint)
2023-11-27
15:20
Osaka Kindai Univ.
(Primary: On-site, Secondary: Online)
Connection sparsification in hysteresis associative memories
Shinya Kujirai, Toshimichi Saito (HU) NC2023-37
This paper studies stability of multiple equilibrium points in hysteresis neural networks as associative memories. The n... [more] NC2023-37
pp.16-19
NLP, CAS 2023-10-06
15:40
Gifu Work plaza Gifu A clustering system of binary data based on reccurent neural network
Kazuma Kiyohara, Toshimichi Saito (HU) CAS2023-44 NLP2023-43
This paper studies clustering methods for binary data based on nonlinear dynamics in associative memories (AM).
The... [more]
CAS2023-44 NLP2023-43
pp.62-65
NLP 2022-11-25
13:00
Shiga
(Primary: On-site, Secondary: Online)
On a Biobjective Optimization Problem in Hysteresis associative memories
Shinya Kujirai, Toshimichi Saito (HU) NLP2022-73
This paper studies a biobjective optimization problem in hysteresis neural networks as associative memories. The network... [more] NLP2022-73
pp.73-76
CCS 2022-11-17
13:00
Mie
(Primary: On-site, Secondary: Online)
A clustering system based on binary associative memories
Kazuma Kiyohara, Kento Saka, Toshimichi Saito (HU) CCS2022-43
This paper studies application of binary associative memories to clustering systems of binary data. The binary associati... [more] CCS2022-43
pp.1-4
NC, MBE
(Joint)
2022-09-30
10:05
Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)
On evolutionary bi-objective optimization in binary associative memories
Kazuma Morishita, Toshimichi Saito (HU) NC2022-39
This paper studies a bi-objective optimization problem in a binary associative memories(BAMs).
The BAMs are characteri... [more]
NC2022-39
pp.28-31
CCS 2021-11-18
13:50
Osaka Osaka Univ.
(Primary: On-site, Secondary: Online)
On a biobjective optimization problem in binary associative memories
Kento Saka, Toshimichi Saito (HU) CCS2021-20
This paper considers a biobjective optimization problem in binary associative memories characterized by ternary connecti... [more] CCS2021-20
pp.16-19
MBE, NC 2019-10-12
10:00
Miyagi   Stability of Periodic Orbits in 3-Layer Dynamic Binary Neural Networks
Seitaro Koyama, Toshimichi Saito (HU) MBE2019-39 NC2019-30
The 3-layer dynamic binary neural networks (3-DBNNs) are characterized by ternary connection parameters and signum activ... [more] MBE2019-39 NC2019-30
p.51
MBE, NC
(Joint)
2018-11-22
14:55
Kyoto   Analysis of the recalling process of associative memory model with astrocyte function
Masaru Kondo, Yoshimasa Tawatsuji, Tatsunori Matsui (Waseda Univ.) NC2018-26
While it may take some time for humans to recall specific memories, the associative memory model constructed by intercon... [more] NC2018-26
pp.17-21
MBE, NC
(Joint)
2018-05-19
15:20
Toyama Univ. of Toyama On Stability of Sparse Binary Neural Networks
Seitaro Koyama, Shunsuke Aoki, Toshimichi Saito (HU) NC2018-3
The dynamic binary neural network is characterized by ternary connection parameters and the signum activaion function.
... [more]
NC2018-3
pp.9-13
MBE, NC, NLP
(Joint)
2018-01-27
11:20
Fukuoka Kyushu Institute of Technology Stability and periodic orbits in dynamic binary neural newtorks
Seitaro Koyama, Shunsuke Aoki, Toshimichi Saito (HU) NLP2017-97
The dynamic binary neural network is characterized by the signum activation function and ternary connection parameters. ... [more] NLP2017-97
pp.59-62
MRIS, ITE-MMS 2017-10-19
13:45
Niigata Kashiwazaki energy hall, Niigata [Invited Talk] Analog spintronics devices and its application to artificial neural networks
Hisanao Akima, William Borders, Shunsuke Fukami, Satoshi Moriya, Shouta Kurihara, Aleksandr Kurenkov, Yoshihiko Horio, Shigeo Sato, Hideo Ohno (Tohoku Univ.) MR2017-18
Developing dedicated integrated circuits operating with low power consumption is indispensable to realize a large scale ... [more] MR2017-18
pp.7-12
NC, NLP
(Joint)
2016-01-29
14:00
Fukuoka Kyushu Institute of Technology Analysis of spurious memories in hysteresis associative memories
Takahiro Ishikawa, Kei Yamaoka, Toshimichi Saito (HU) NC2015-62
The hysteresis neural network is a continuous-time network characterized by binary hysteresis activation function.
Th... [more]
NC2015-62
pp.29-32
NC, IPSJ-BIO, IBISML, IPSJ-MPS
(Joint) [detail]
2015-06-25
16:10
Okinawa Okinawa Institute of Science and Technology Evolutionary learning of hysteresis neural networks
Kei Yamaoka, Toshimichi Saito (HU) NC2015-10
This paper studies evolutionary leaning algorithm for hysteresis associative memories (HAM).
The HAM is characterized ... [more]
NC2015-10
pp.89-92
NC 2015-01-29
14:35
Fukuoka Kyushu Institute of Technology Associative memory and amplitude death of hysteresis neural networks
Kei Yamaoka, Toshimichi Saito (HU) NC2014-58
This paper studies effects of the amplitude death on the
storage function of the hysteresis neural network.
Applying... [more]
NC2014-58
pp.7-10
NLP 2014-06-30
16:25
Miyagi Tohoku Univ. Study on the hardware of the Bidirectional Associative Memories by using the Inverse Function Delayless model
Chunyu Bao, Takeshi Onomi, Yoshihiro Hayakawa, Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2014-26
In conventional macro models such as the Hopfield model, the problems that are caused by the solution of the network not... [more] NLP2014-26
pp.31-36
RECONF 2013-09-19
14:50
Ishikawa Japan Advanced Institute of Science and Technology Considerations of Constantize for Entries in Associative Memories Using Dynamic Partial Reconfiguration
Tomoaki Ukezono, Koichi Araki (JAIST) RECONF2013-36
In general, memories which can be referenced by associative search will enlarge hardware size and extend delay for refer... [more] RECONF2013-36
pp.97-102
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
MBE, NC
(Joint)
2012-03-14
16:50
Tokyo Tamagawa University Bayesian Network Associative Memories
Hiroaki Hasegawa, Masafumi Hagiwara (Keio Univ.) NC2011-146
In this paper, we propose Bayesian Network Associative Memories (BNAMs) for modeling associative memories with Bayesian ... [more] NC2011-146
pp.147-152
NC 2012-01-26
09:00
Hokkaido Future University Hakodate Storage capacity of the associative memory model with the zero-order synaptic decay
Ryota Miyata (Tokyo Tech.), Jun Tsuzurugi (Okayama Univ. Sci.), Toru Aonishi (Tokyo Tech.), Koji Kurata (Univ. Ryukyu.) NC2011-97
It has been reported that synaptogenesis, formation of synaptic connection, continues to take place in certain regions o... [more] NC2011-97
pp.1-6
NC 2012-01-26
11:45
Hokkaido Future University Hakodate Comparison and Evaluation of Growing Complex Network Generated by Similarities
Keisuke Terayama, Yukari Yamauchi (NU) NC2011-103
We proposed a method to configure growing network based on similarities. Generated network by the proposed method shows ... [more] NC2011-103
pp.37-42
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