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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MBE, NC (Joint) |
2017-11-24 16:00 |
Miyagi | Tohoku University | Mechanisms of synchronization in modular neuronal network models Satoshi Moriya, Hideaki Yamamoto, Katsuya Ide, Hisanao Akima, Ayumi Hirano-Iwata (Tohoku Univ.), Michio Niwano (Tohoku Fukushi Univ.), Shigeru Kubota (Yamagata Univ.), Shigeo Sato (Tohoku Univ.)  NC2017-30 |
Inspired by the brain's structure and function, hardware based on non-von Neumann architecture is rapidly being develope... [more] | NC2017-30 pp.19-23 |
| 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 |
| MBE, NC (Joint) |
2017-03-13 14:35 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Autoassociative Memory System Using Analogue Magnetic Memory Device Shouta Kurihara, Hisanao Akima, William A. Borders, Shunsuke Fukami, Satoshi Moriya, Aleksandr Kurenkov, Ryota Shimohashi, Yoshihiko Horio, Shigeo Sato, Hideo Ohno (Tohoku Univ.) NC2016-85 |
[more] | NC2016-85 pp.127-132 |
| MBE, NC (Joint) |
2017-03-13 15:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Variation in spontaneous activity patterns in modular neuronal network models Satoshi Moriya, Hideaki Yamamoto, Katsuya Ide, Hisanao Akima, Ayumi Hirano-Iwata, Michio Niwano (Tohoku Univ.), Shigeru Kubota (Yamagata Univ.), Shigeo Sato (Tohoku Univ.) NC2016-86 |
A neuronal network forms a modular structure which is represented by the connection structure between columns in the cer... [more] | NC2016-86 pp.133-136 |
| MBE, NC (Joint) |
2016-11-19 15:00 |
Miyagi | Tohoku University | Investigation of network structure and synchronous activity in modularly-structured neuronal network models Satoshi Moriya, Hideaki Yamamoto, Hisanao Akima, Ayumi Hirano-Iwata, Michio Niwano (Tohoku Univ.), Shigeru Kubota (Yamagata Univ.), Shigeo Sato (Tohoku Univ.) NC2016-38 |
In the brain, connections between neurons are modularly organized. By integrating numerical analyses with experiments on... [more] | NC2016-38 pp.33-38 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2016-07-06 14:30 |
Okinawa | Okinawa Institute of Science and Technology | Computational study on the effect of modular topology on synchronized activity in neuronal networks Satoshi Moriya, Hideaki Yamamoto, Hisanao Akima, Ayumi Hirano-Iwata, Michio Niwano (Tohoku Univ.), Shigeru Kubota (Yamagata Univ.), Shigeo Sato (Tohoku Univ.) NC2016-13 |
The mammalian brain is a complex system in which anatomical modules are integrated to function as a whole. In order to c... [more] | NC2016-13 pp.217-222 |
| MBE, NC (Joint) |
2016-05-21 14:40 |
Toyama | University of Toyama | A Study on Synaptic Weight Resolution in Hardware Implementation of Deep Neural Network Shouta Kurihara, Satoshi Moriya, Hisanao Akima, Masao Sakuraba, Shigeo Sato (Tohoku Univ.) NC2016-5 |
Deep learning implemented on a multi-layered network is one of the machine learning methods. The reason why deep learnin... [more] | NC2016-5 pp.23-28 |
| MBE, NC (Joint) |
2015-11-21 13:50 |
Miyagi | Tohoku University | Design of an Izhikevich neuron circuit using stochastic logic Shigeo Sato, Hisanao Akima, Koji Nakajima, Masao Sakuraba (Tohoku Univ.) NC2015-42 |
[more] | NC2015-42 pp.31-34 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS (Joint) [detail] |
2015-06-25 13:20 |
Okinawa | Okinawa Institute of Science and Technology | An LSI Implementation of a Neural Network Model for Detecting Local Image Motion in the Visual Cortex Hisanao Akima, Satoshi Moriya (Tohoku Univ.), Susumu Kawakami, Masafumi Yano (Tohoku Univ.), Koji Nakajima, Masao Sakuraba, Shigeo Sato (Tohoku Univ.) NC2015-4 |
The spatial perception, in which objects motion and positional relation are recognized, is necessary to realize such as ... [more] | NC2015-4 pp.57-62 |
| MBE, NC (Joint) |
2014-11-22 16:25 |
Miyagi | Tohoku University | A simulation study of a neural network model for detecting planar surface by motion stereo vision Hisanao Akima (Tohoku Univ.), Susumu Kawakami, Koji Nakajima, Masao Sakuraba, Shigeo Sato (Tohoku Univ.) NC2014-43 |
The spatial perception, in which objects motion and positional relation are recognized, is necessary to realize such as ... [more] | NC2014-43 pp.97-100 |
| 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 |
| NLP | 2014-07-01 10:00 |
Miyagi | Tohoku Univ. | Learning Restricted Boltzmann Machine with discrete learning parameter Seitaro Shinagawa (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Takeshi Onomi, Koji Nakajima (Tohoku Univ.) NLP2014-27 |
Recently, the method of Deep Neural Network (DNN) with hierarchical learning has been remarkable for performance to solv... [more] | NLP2014-27 pp.37-40 |
| NLP | 2014-01-21 13:30 |
Hokkaido | Niseko Park Hotel | DTN routing method by using neural networkas. Daisuke Sasaki (Tohoku Univ), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Koji Nakajima (Tohoku Univ) NLP2013-136 |
A Disruption tolerant Network (DTN) is studied as a communicating technique for the time when a network infrastructure w... [more] | NLP2013-136 pp.41-44 |
| NLP | 2014-01-21 13:50 |
Hokkaido | Niseko Park Hotel | Solving Optimization Problems Using DS-net and IDL model Yuto Watanabe (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2013-137 |
The Inverse function DelayLess (IDL) model has been proposed as one of novel neural models. Since the IDL model can set ... [more] | NLP2013-137 pp.45-50 |
| NLP | 2014-01-21 15:40 |
Hokkaido | Niseko Park Hotel | Neural Network learning using Inverse Function Delayless Model Yuta Horiuchi (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2013-142 |
The Inverse function Delayed (ID) model has been proposed as one of novel neural models. The ID model has an ability of ... [more] | NLP2013-142 pp.73-76 |
| NLP | 2014-01-22 10:20 |
Hokkaido | Niseko Park Hotel | Studies on the hardware of neural associative memory with a broad basin Jiang Jing (Tohoku Univ), Yoshihiro Hayakawa (Sendai NT), Shigeo Sato, Koji Nakajima (Tohoku Univ) NLP2013-147 |
Abstract Because associative operation of the Hopfield neural network model are trapped in spurious memory, the associat... [more] | NLP2013-147 pp.99-102 |
| NLP | 2012-12-18 09:45 |
Fukui | Fukui City Communication Plaza | Inverse Function Delayless (IDL) Model Yuto Watanabe (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2012-98 |
The Inverse function Delayed (ID) model has been proposed as one of novel neural models. The ID model has the negative r... [more] | NLP2012-98 pp.57-60 |
| NLP | 2012-12-18 10:10 |
Fukui | Fukui City Communication Plaza | Hardware implementation of the discrete Inverse-function Delayed network with Higher order synaptic Connections Kosuke Matsui (Tohoku Univ.), Yoshihiro Hayakawa (Sendai N.C.T.), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2012-99 |
The HC-ID network has been proposed as a network model that avoids local minima when it is applied to combinatorial opti... [more] | NLP2012-99 pp.61-64 |
| NLP | 2012-12-18 10:35 |
Fukui | Fukui City Communication Plaza | Optimization of Scheduling in Disruption-Tolerant Networks by Neural Network Daisuke Sasaki (Tohoku Univ), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Koji Nakajima (Tohoku Univ) NLP2012-100 |
A Disruption tolerant Network (DTN) is studied as a communicating technique when a network infrastructure was destroyed ... [more] | NLP2012-100 pp.65-68 |
| NLP | 2012-03-27 16:05 |
Nagasaki | Fukue Cultural Hall | Designing method of Energy Functions for Solving Combinatorial Optimization Problems by the Network with Higher-order Connections Takahiro Sota (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2011-148 |
We have proposed the Inverse function Delayed network with Higher order synaptic Connections (HC-ID network) to solve va... [more] | NLP2011-148 pp.39-44 |
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