Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 11:50 |
Tokushima |
Naruto University of Education |
Optimization of synaptic scaling rule, its implementation on modular spiking neural networks and analysis of its affects Takumi Shinkawa, Hideyuki Kato (Oita Univ.), Yoshitaka Ishikawa (FUN), Takuma Sumi, Hideaki Yamamoto (Tohoku Univ.), Yuichi Katori (FUN) NLP2023-107 MICT2023-62 MBE2023-53 |
In this study, to theoretically investigate the information processing mechanisms in the brain, we optimized synaptic sc... [more] |
NLP2023-107 MICT2023-62 MBE2023-53 pp.110-113 |
NC, MBE (Joint) |
2022-09-29 10:00 |
Miyagi |
Tohoku Univ. (Primary: On-site, Secondary: Online) |
Fabrication of artificial neuronal networks for analyzing neuronal ensemble functions Hakuba Murota, Hideaki Yamamoto, Takuma Sumi, Shigeo Sato, Ayumi Hirano (Tohoku Univ.) NC2022-32 |
In this study, we applied cell patterning technology using polydimethylsiloxane microfluidics to fabricate artificial ne... [more] |
NC2022-32 pp.1-4 |
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, MBE (Joint) |
2021-03-03 11:20 |
Online |
Online |
Direction-selective motion detection simulation of the optic lobe using Drosophila connectome Munehiro Hayashi, Takayuki Okuda, Hayato Tsunoda (UTokyo), Tomoki Kazawa, Ryohei Kanzaki (RCAST) NC2020-45 |
(To be available after the conference date) [more] |
NC2020-45 pp.17-20 |
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 |
PRMU |
2016-10-21 16:20 |
Miyazaki |
|
Study of template matching application of a steganography (ANGO)
-- Interdisciplinary cryptography and image processing -- Hirokazu Ishizuka (Kyudai), Isao Echizen (NII), Keiichi Iwamura (TUS), Koichi Sakurai (Kyudai) PRMU2016-108 |
We propose a steganographic method called ANGO using Ango Sakaguchi's
novel ``ANGOU'' as a hint. Go through the study ... [more] |
PRMU2016-108 pp.97-102 |
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) |
2016-03-23 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 |
MBE, NC (Joint) |
2015-11-20 14:55 |
Miyagi |
Tohoku University |
Effect of small-world connectivity on synchronization of spiking neural networks Yudai Chida, Hideaki Yamamoto, Ayumi Hirano-Iwata (Tohoku Univ.), Shigeru Kubota (Yamagata Univ.), Michio Niwano (Tohoku Univ.) NC2015-37 |
Neurons are the functional element of the brain. Recent progress in cortical physiology and brain imaging studies highli... [more] |
NC2015-37 pp.7-12 |
SP, IPSJ-SLP (Joint) |
2015-07-16 16:20 |
Nagano |
Katakura Suwako Hotel |
Sequence Discriminative Training for Low-Rank Deep Neural Networks Yuuki Tachioka (Mitsubishi Electric), Shinji Watanabe, Jonathan Le Roux, John Hershey (MERL) SP2015-39 |
Deep neural network (DNN) acoustic models outperform conventional Gaussian mixture model (GMM) but the number of paramet... [more] |
SP2015-39 pp.19-24 |
MI |
2015-03-02 13:40 |
Okinawa |
Hotel Miyahira |
Root problem of image cognition
-- Spike code flow map in cultured neuronal networks -- Shinichi Tamura (NBL), Yoshi Nishitani (Osaka Univ.), Chie Hosokawa (AIST), Tomomitsu Miyoshi, Hajime Sawai (Osaka Univ.), Takuya Kamimura (NBL), Yasushi Yagi (Osaka Univ.), Yuko Mizuno-Matsumoto (Univ. Hyogo), Yen-Wei Chen (Ritsumei Univ.) MI2014-66 |
It’s important to investigate natural intelligence how the signal/ information is flown in neuronal network. We observed... [more] |
MI2014-66 pp.67-72 |