Committee 
Date Time 
Place 
Paper Title / Authors 
Abstract 
Paper # 
NLP 
20221125 13:00 
Shiga 
(Primary: Onsite, Secondary: Online) 
A biobjective optimization problem in hysteresis associative memories Shinya Kujirai, Toshimichi Saito (HU) NLP202273 
This paper studies a biobjective optimization problem in hysteresis neural networks as associative memories. The network... [more] 
NLP202273 pp.7376 
CCS 
20221117 13:00 
Mie 
(Primary: Onsite, Secondary: Online) 
A clustering system based on binary associative memories Kazuma Kiyohara, Kento Saka, Toshimichi Saito (HU) CCS202243 
This paper studies application of binary associative memories to clustering systems of binary data. The binary associati... [more] 
CCS202243 pp.14 
NC, MBE (Joint) 
20220930 10:05 
Miyagi 
Tohoku Univ. (Primary: Onsite, Secondary: Online) 
On evolutionary biobjective optimization in binary associative memories Kazuma Morishita, Toshimichi Saito (HU) NC202239 
This paper studies a biobjective optimization problem in a binary associative memories(BAMs).
The BAMs are characteri... [more] 
NC202239 pp.2831 
CCS 
20211118 13:50 
Osaka 
Osaka Univ. (Primary: Onsite, Secondary: Online) 
On a biobjective optimization problem in binary associative memories Kento Saka, Toshimichi Saito (HU) CCS202120 
This paper considers a biobjective optimization problem in binary associative memories characterized by ternary connecti... [more] 
CCS202120 pp.1619 
MBE, NC 
20191012 10:00 
Miyagi 

Stability of Periodic Orbits in 3Layer Dynamic Binary Neural Networks Seitaro Koyama, Toshimichi Saito (HU) MBE201939 NC201930 
The 3layer dynamic binary neural networks (3DBNNs) are characterized by ternary connection parameters and signum activ... [more] 
MBE201939 NC201930 p.51 
MBE, NC (Joint) 
20181122 14:55 
Kyoto 

Analysis of the recalling process of associative memory model with astrocyte function Masaru Kondo, Yoshimasa Tawatsuji, Tatsunori Matsui (Waseda Univ.) NC201826 
While it may take some time for humans to recall specific memories, the associative memory model constructed by intercon... [more] 
NC201826 pp.1721 
MBE, NC (Joint) 
20180519 15:20 
Toyama 
Univ. of Toyama 
On Stability of Sparse Binary Neural Networks Seitaro Koyama, Shunsuke Aoki, Toshimichi Saito (HU) NC20183 
The dynamic binary neural network is characterized by ternary connection parameters and the signum activaion function.
... [more] 
NC20183 pp.913 
MBE, NC, NLP (Joint) 
20180127 11:20 
Fukuoka 
Kyushu Institute of Technology 
Stability and periodic orbits in dynamic binary neural newtorks Seitaro Koyama, Shunsuke Aoki, Toshimichi Saito (HU) NLP201797 
The dynamic binary neural network is characterized by the signum activation function and ternary connection parameters. ... [more] 
NLP201797 pp.5962 
MRIS, ITEMMS 
20171019 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.) MR201718 
Developing dedicated integrated circuits operating with low power consumption is indispensable to realize a large scale ... [more] 
MR201718 pp.712 
NC, NLP (Joint) 
20160129 14:00 
Fukuoka 
Kyushu Institute of Technology 
Analysis of spurious memories in hysteresis associative memories Takahiro Ishikawa, Kei Yamaoka, Toshimichi Saito (HU) NC201562 
The hysteresis neural network is a continuoustime network characterized by binary hysteresis activation function.
Th... [more] 
NC201562 pp.2932 
NC, IPSJBIO, IBISML, IPSJMPS (Joint) [detail] 
20150625 16:10 
Okinawa 
Okinawa Institute of Science and Technology 
Evolutionary learning of hysteresis neural networks Kei Yamaoka, Toshimichi Saito (HU) NC201510 
This paper studies evolutionary leaning algorithm for hysteresis associative memories (HAM).
The HAM is characterized ... [more] 
NC201510 pp.8992 
NC 
20150129 14:35 
Fukuoka 
Kyushu Institute of Technology 
Associative memory and amplitude death of hysteresis neural networks Kei Yamaoka, Toshimichi Saito (HU) NC201458 
This paper studies effects of the amplitude death on the
storage function of the hysteresis neural network.
Applying... [more] 
NC201458 pp.710 
NLP 
20140630 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.) NLP201426 
In conventional macro models such as the Hopfield model, the problems that are caused by the solution of the network not... [more] 
NLP201426 pp.3136 
RECONF 
20130919 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) RECONF201336 
In general, memories which can be referenced by associative search will enlarge hardware size and extend delay for refer... [more] 
RECONF201336 pp.97102 
NC, MBE (Joint) 
20121212 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) NC201279 
The associative memory model is one of typical neural network model and has equilibrium state called spurious state in w... [more] 
NC201279 pp.3136 
MBE, NC (Joint) 
20120314 16:50 
Tokyo 
Tamagawa University 
Bayesian Network Associative Memories Hiroaki Hasegawa, Masafumi Hagiwara (Keio Univ.) NC2011146 
In this paper, we propose Bayesian Network Associative Memories (BNAMs) for modeling associative memories with Bayesian ... [more] 
NC2011146 pp.147152 
NC 
20120126 09:00 
Hokkaido 
Future University Hakodate 
Storage capacity of the associative memory model with the zeroorder synaptic decay Ryota Miyata (Tokyo Tech.), Jun Tsuzurugi (Okayama Univ. Sci.), Toru Aonishi (Tokyo Tech.), Koji Kurata (Univ. Ryukyu.) NC201197 
It has been reported that synaptogenesis, formation of synaptic connection, continues to take place in certain regions o... [more] 
NC201197 pp.16 
NC 
20120126 11:45 
Hokkaido 
Future University Hakodate 
Comparison and Evaluation of Growing Complex Network Generated by Similarities Keisuke Terayama, Yukari Yamauchi (NU) NC2011103 
We proposed a method to configure growing network based on similarities. Generated network by the proposed method shows ... [more] 
NC2011103 pp.3742 
NC, NLP 
20110124 15:35 
Hokkaido 
Hokakido Univ. 
[Invited Talk]
Patternrecalling processes in a quantummechanical variant of the Hopfield model Junichi Inoue (Hokkaido Univ.) NLP2010135 NC201099 
As a mathematical model of associative memories,
the Hopfield model was wellestablished
and a lot of studies
to ... [more] 
NLP2010135 NC201099 pp.6368 
MI 
20100128 11:40 
Okinawa 
NahaBunkaTenbusu 
Brain timeshift map and communication strategy
 Memory loop and remote copy  Takuya Kamimura (Ritsumei Univ.), Kazuki Nakamura (Univ. of Hyogo), Kazuyo Yoneda (NBL), YenWei Chen (Ritsumei Univ.), Yuko MizunoMatsumoto (Univ. of Hyogo), Tomomitsu Miyoshi, Hajime Sawai (Osaka Univ.), Shinichi Tamura (NBL) MI2009100 
We have developed a timeshift map of the brain, which shows/ visualizes signal such as EEG and MEG etc. is transmitted/... [more] 
MI2009100 pp.133138 