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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 22  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IN, RCS, NV
(Joint)
2022-05-26
11:50
Kanagawa Keio University (Hiyoshi Campus)
(Primary: On-site, Secondary: Online)
Application of Darwinian Neurodynamics Model for Dynamic TDD Resource Allocation
Lu Chen, Masayuki Murata (Osaka Univ.) IN2022-3
Following the launch of 5G mobile network services, private 5G networks are getting started to be available, and have a ... [more] IN2022-3
pp.13-18
MBE, NC
(Joint)
2021-10-28
11:15
Online Online Neural Mechanisms of Prepulse Inhibition in Drosophila Larvae
Kotaro Furuya, Yuki Katsumata, Masayuki Ishibashi (Tokyo Tech), Takako Morimoto (TUPLS), Toru Aonishi (Tokyo Tech) NC2021-18
Prepulse inhibition (PPI) is a phenomenon in which the startle response to stimuli is suppressed by preceding stimuli. I... [more] NC2021-18
pp.1-6
NC, NLP
(Joint)
2021-01-22
10:05
Online Online Verification of a Visuomotor Integration Model for Grasping the Cups of Different Sizes with a Multi-Fingered Robot Hand
Motoi Matsuda, Naohiro Fukumura (Toyohashi Univ. of Tech) NC2020-36
Object recognition and object grasping using image recognition methods have been actively researched, but most of them c... [more] NC2020-36
pp.24-28
NC, NLP
(Joint)
2021-01-22
13:55
Online Online Attentional modulation of spike synchrony in a disinihibition network model
Nobuhiko Wagatsuma, Haruka Shimomura (Toho Univ.), Sou Nobukawa (CIT) NC2020-39
Recent computational study has reported that top-down attention mediated by feedback signals modulates the neuronal acti... [more] NC2020-39
pp.40-44
NC, MBE
(Joint)
2020-03-04
15:45
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
Spike synchrony and firing rates for Border Ownership selective neurons in a disinhibition network
Haruka Shimomura (Toho Univ), Sou Nobukawa (CIT), Nobuhiko Wagatsuma (Toho Univ) NC2019-86
Border Ownership (BO) tells which side of a contour owns a border, and it plays a fundamental role for the figure-ground... [more] NC2019-86
pp.61-64
NC, MBE
(Joint)
2018-10-19
14:25
Miyagi Tohoku Univ. Functional complexity in neuronal network models with hierarchically modular organization
Zhixiong Chen, Hideaki Yamamoto, Satoshi Moriya, Katsuya Ide (Tohoku Univ.), Shigeru Kubota (Yamagata Univ.), Shigeo Sato, Ayumi Hirano-Iwata (Tohoku Univ.) NC2018-14
Research and development of hardware and architectures that imitate the information processing mechanism of brains is be... [more] NC2018-14
pp.7-12
NC, MBE
(Joint)
2018-10-19
14:50
Miyagi Tohoku Univ. Excitatory-inhibitory balance and network dynamics in modular neuronal network models
Satoshi Moriya, Hideaki Yamamoto, Zhixiong Chen, Katsuya Ide, Kei Wakimura, Ayumi Hirano-Iwata (Tohoku Univ.), Shigeru Kubota (Yamagata Univ.), Shigeo Sato (Tohoku Univ.) NC2018-15
A brainmorphic information processing system that is inspired brain functions has the ability to execute information pro... [more] NC2018-15
pp.13-17
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
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
IBISML 2016-11-17
14:00
Kyoto Kyoto Univ. Extraction of low dimensional attractors embedded in a recurrent neural network by using Dynamic Mode Decomposition
Shin Murata (Univ. Tokyo), Masato Okada (Univ. Tokyo/RIKEN) IBISML2016-85
Dynamic Mode Decomposition (DMD) decomposes high-dimensional dynamical data into a few dynamic modes and has been develo... [more] IBISML2016-85
pp.279-285
MBE, NC
(Joint)
2016-03-23
14:00
Tokyo Tamagawa University External Input Response of Neural Network Model with Irregular Spontaneous Activity
Yoshihiro Nagano, Ryo Karakida (UTokyo), Norifumi Watanabe (TUT), Atsushi Aoyama (Keio Univ), Masato Okada (UTokyo) NC2015-85
The previous studies have reported that the neural network model with connections following a lognormal distribution rep... [more] NC2015-85
pp.89-94
HIP 2014-03-18
11:35
Tokyo Tokyo Univ. An Extraction of Muscle Synergies in the Grasping Task by the Integration of Hand Shape Information and EMG Signal
Katsunari Masuzaki, Naohiro Fukumura (Toyohashi Univ. of Tech.) HIP2013-82
Since a human has a large number of muscles, it is thought that controlling the enormous degrees of freedom is difficult... [more] HIP2013-82
pp.17-22
NC, MBE
(Joint)
2014-03-17
14:30
Tokyo Tamagawa University Analysis of Neural Circuit for Visual Attention using Lognormally Distributed Input
Yoshihiro Nagano (Keio Univ.), Norifumi Watanabe (TUT), Atsushi Aoyama (Keio Univ.) NC2013-96
Recent physiological studies have indicated that visual attention modulates neural activity depending on the cell types ... [more] NC2013-96
pp.47-52
MBE, NC
(Joint)
2013-03-13
14:35
Tokyo Tamagawa University Hebbian learning of transition probabilities -- a neural network study --
Hiroshi Saito, Ken Takiyama (Univ. of Tokyo), Masato Okada (Univ. of Tokyo/RIKEN) NC2012-145
State of the environment changes on and on, and humans animals predict future state through their experiences. Recent br... [more] NC2012-145
pp.67-72
MBE 2011-09-26
14:55
Niigata Nagaoka Univ. of Tech. Property changes of autonomous transition on Hodgkin-Huxley neural network
Ukyo Matsushita, Sami Abdureyim, Yasukuni Mori (Chiba Univ.), Yoichi Saito, Hajime Harada (Research Institute for EEG Analysis), Ikuo Matsuba (Chiba Univ.) MBE2011-47
The neural networks including chaotic properties in neurons are important studies to reveal the flexibile information pr... [more] MBE2011-47
pp.45-50
TL 2008-12-13
14:00
Tottori Tottori Univ. A bi-directional neural network model of 3-D mental rotation
Mitsuru Ashizawa, Toshio Inui (Kyoto Univ.) TL2008-45
Here, a neural network model for mental rotation is proposed. In this model, it is assumed that a mental image is repres... [more] TL2008-45
pp.7-12
NC, MBE
(Joint)
2008-03-12
10:40
Tokyo Tamagawa Univ A neural circuit model of short-term memory for changing in total number of items recalled depending on their relationships
Tora Sawaguchi, Kazushi Murakoshi (Toyohashi Univ. Tec.) NC2007-114
It is said that the capacity of information that can be stored in short-term memory is seven chunks.
It is suggested th... [more]
NC2007-114
pp.13-18
NC, MBE
(Joint)
2008-03-14
10:50
Tokyo Tamagawa Univ Neural Network Capable of Amodal Completion
Kunihiko Fukushima (Kansai Univ.) NC2007-189
When some parts of a pattern are occluded by other objects, the visual system can often estimate the shape of missing po... [more] NC2007-189
pp.457-462
MBE 2007-07-21
13:25
Tokushima   Dynamical Property of a Plastic Neural Model for Tinnitus Therapy and Inhibition of Oscillation by Two Types of Noise Stimuli
Ken'ichi Fujimoto, Hirofumi Nagashino, Yohsuke Kinouchi (Tokushima Univ.), Ali A. Danesh, Abhijit S. Pandya (Florida Atlantic Univ.) MBE2007-36
There are sound therapies for tinnitus, which have the clinical effect of making the sufferers temporarily stop perceivi... [more] MBE2007-36
pp.63-66
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