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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MBE, NC (Joint) |
2012-03-15 09:50 |
Tokyo | Tamagawa University | Stochastic State Transitions in Recurrent Neural Networks with Sparse Asymmetric Connections Koretaka Ogata, Takuma Tanaka, Kiyohiko Nakamura (Tokyo Tech)  NC2011-149 |
Recently many studies have reported that neurons form clustered structures in neocortical microcircuits more than expect... [more] | NC2011-149 pp.165-169 |
| 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 09:50 |
Hokkaido | Future University Hakodate | Study on Sequential Associative Memory in Chaos Neural Network Yoshiaki Sato, Yukari Yamauchi (Nihon Univ.) NC2011-99 |
In this research, we propose a model of associative memory to recall the hierarchical periodic patterns. Conventional as... [more] | NC2011-99 pp.13-18 |
| MI | 2012-01-19 11:20 |
Okinawa | [Poster Presentation]
Learning of Loop Neural Circuit Based on Pseudo-Random Sequence Takuya Kamimura, Yasushi Yagi (Osaka Univ.), Yen-Wei Chen (Ritsumeikan Univ.), Shinichi Tamura (NBL) MI2011-100 |
We have developed a time-shift map of the brain, which shows/ visualizes signal such as EEG and MEG etc. is transmitted/... [more] | MI2011-100 pp.127-132 |
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| MBE, NC (Joint) |
2011-11-25 14:15 |
Miyagi | ECEI Departments, Graduate School of Engineering, Tohoku University | Optimization of the Sparsely Encoded Associative Memory Model with Unit Replacement by the Mutual Information Jun Tsuzurugi (Okayama Univ. Science), Ryota Miyata (Tokyo Tech), Koji Kurata (Univ. Ryukyu) NC2011-83 |
According to the previous researches, the associative memory model with unit replacement, in which a few old units are r... [more] | NC2011-83 pp.65-70 |
| NC | 2011-10-20 13:35 |
Fukuoka | Ohashi Campus, Kyushu Univ. | Statistical mechanics of the sparsely encoded Hopfield model with unit replacement Ryota Miyata, Jiro Maekawa (TITECH), Koji Kurata (Univ. Ryukyu), Toru Aonishi (TITECH) NC2011-64 |
In this paper, the sparsely encoded Hopfield model with unit replacement is analyzed by a statical mechanics, self-consi... [more] | NC2011-64 pp.113-118 |
| NC, MBE (Joint) |
2010-03-11 17:15 |
Tokyo | Tamagawa University | Analysis of Autocorrelation type Associative Memory Model with Hierarchical Patterns by Using PCA Teijiro Shiotsuka (Waseda Univ.), Kenji Nagata, Koji Hukushima (Tokyo Univ.), Masato Okada (Tokyo Univ./RIKEN), Masato Inoue (Waseda Univ.) NC2009-158 |
The statistical mechanical approach is useful and has been applied to various problems in the field of information proce... [more] | NC2009-158 pp.413-418 |
| MI | 2010-01-28 11:40 |
Okinawa | Naha-Bunka-Tenbusu | Brain time-shift map and communication strategy
-- Memory loop and remote copy -- Takuya Kamimura (Ritsumei Univ.), Kazuki Nakamura (Univ. of Hyogo), Kazuyo Yoneda (NBL), Yen-Wei Chen (Ritsumei Univ.), Yuko Mizuno-Matsumoto (Univ. of Hyogo), Tomomitsu Miyoshi, Hajime Sawai (Osaka Univ.), Shinichi Tamura (NBL) MI2009-100 |
We have developed a time-shift map of the brain, which shows/ visualizes signal such as EEG and MEG etc. is transmitted/... [more] | MI2009-100 pp.133-138 |
| NC | 2010-01-19 11:05 |
Hokkaido | Hyakunen-Kinen in Hokkaido University | Effective common input for pattern transition in a pulse associative memory model Keiko Ishimaru, Masaki Kawamura (Yamaguchi Univ.) NC2009-82 |
We show common input can induce pattern transitions in a pulse associative memory model. The common input is one of exte... [more] | NC2009-82 pp.65-70 |
| NLP | 2009-11-13 10:15 |
Kagoshima | A Novel Chaos Associative Memory with Tchebycheff Activation Function Masahiro Nakagawa (Nagaoka Univ. of Tech.) NLP2009-101 |
In this presentation we shall put forward a novel chaos neuron model and investigate the dynamic properties. The present... [more] | NLP2009-101 pp.109-114 |
|
| NLP | 2009-11-14 11:45 |
Kagoshima | Retrieval Characteristics of a Dynamical Associative Memory with 1/fα Fluctuations Generated by Adaptive Lattice Dynamics Masato Hirose, Masaharu Adachi (Tokyo Denki Univ.) NLP2009-119 |
In this report, we describe a dynamical associative memory based on a chaotic neural network that is applied $1/f^{\alph... [more] | NLP2009-119 pp.209-213 |
|
| NC, MBE (Joint) |
2009-03-13 14:15 |
Tokyo | Tamagawa Univ. | Simplification of the 2008 Hopfield model of associative memory which can easily detect the failure of memory recalls Akira Date, Hiroshi Yamamoto (Miyazaki Univ.) NC2008-171 |
In 2008, Professor Hopfield proposed a network model of associative memory which can rapidly detect the failure of memo... [more] |
NC2008-171 pp.399-404 |
| CAS, NLP | 2009-01-22 13:00 |
Miyazaki | On the Memory Capacity and Invariant Measure of Chaos Associative Model Masahiro Nakagawa (Nagaoka Univ. of Tech.) CAS2008-71 NLP2008-101 |
In this paper, the memory capacity of the autoassociative model is investigated on the basis of the statistical neuronic... [more] | CAS2008-71 NLP2008-101 pp.41-46 |
|
| NC | 2009-01-19 15:10 |
Hokkaido | Hokkaido Univ. | Statistical mechanics of the Hopfield model with replacing units Yasunao Komatsu, Toru Aonishi (Tokyo Inst. of Tech.), Koji Kurata (Univ. of Ryukyus) NC2008-90 |
There is a critical memory capacity in the Hopfield model. If the number of embed patterns surpasses the crirical number... [more] | NC2008-90 pp.49-54 |
| NLP | 2008-12-10 16:05 |
Ishikawa | Retrieval Characteristic of Dynamical Associative Memory with 1/f^a Fluctuation Masato Hirose, Masaharu Adachi (Tokyo Denki Univ.) NLP2008-90 |
In this report, we describe a dynamical associative memory based on chaotic neural networks that is applied $1/f^{\alpha... [more] | NLP2008-90 pp.107-112 |
|
| NC | 2008-11-07 15:20 |
Saga | Saga Univ. | Neural network model with discrete and continuous information representation Jun Kitazono (Univ. of Tokyo), Toshiaki Omori, Masato Okada (Univ. of Tokyo/RIKEN) NC2008-61 |
An associative memory model and a neural network model with Mexican-hat type interaction are the two most typical attrac... [more] | NC2008-61 pp.13-18 |
| NC, MBE (Joint) |
2008-03-13 14:10 |
Tokyo | Tamagawa Univ | Prediction of PRCs in Hippocampal CA3 Neurons by Top-down Approach Toru Aonishi (Tokyo Tech.) NC2007-156 |
We proposed a top-down framework based on the statistical mechanics to predict phase response curves (PRCs) of hippocamp... [more] | NC2007-156 pp.261-266 |
| NLP | 2008-02-01 10:45 |
Hokkaido | Complex-Valued Multistate Associative Memory with Nonlinear Multilevel Function Gouhei Tanaka, Kazuyuki Aihara (Tokyo Univ.) NLP2007-144 |
A complex-valued neural network can be used for multistate associative memory by quantizing a neuronal state into a mult... [more] | NLP2007-144 pp.13-18 |
|
| NLP | 2008-02-01 11:35 |
Hokkaido | A Generalised Entropy based Assosiative Memory Masahiro Nakagawa (Nagaoka Univ. of Tech.) NLP2007-146 |
In this paper, a generalised entropy based associative memory model will be proposed and applied to memory retrievals w... [more] |
NLP2007-146 pp.25-30 |
|
| NC | 2007-03-14 13:00 |
Tokyo | Tamagawa University | Effect of Sparse Encoding in the Layered Associative Network Kazuya Ishibashi (Univ. Tokyo), Kosuke Hamaguchi (RIKEN), Masato Okada (Univ. Tokyo/ RIKEN) |
A synfire chain is a simple neural network model which can generate stable synchronous firings called a pulse packet and... [more] | NC2006-141 pp.139-144 |
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