Paper Abstract and Keywords |
Presentation |
2018-10-19 14:50
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 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
A brainmorphic information processing system that is inspired brain functions has the ability to execute information processing with lower power consumption and higher speed in comparison a conventional von Neumann computer. We carry out a cultured neuronal network experiments and computer simulation to study how the spatiotemporal dynamics on neuronal circuits can be applied to information processing. In this work, we used computer simulations to investigate the effect of modular structure and inhibitory neurons of the neuronal circuit on network dynamics. It was revealed that the spatial complexity of neuron firing on the network composed of excitatory and inhibitory neurons changes depending on the network modularity. It was also shown that the dynamics is most complicated when the ratio of inhibitory neurons in the network is approximately 20-30%. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
neuronal network model / integrated-and-fire model / modular organization / inhibitory neurons / synchronous activity / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 258, NC2018-15, pp. 13-17, Oct. 2018. |
Paper # |
NC2018-15 |
Date of Issue |
2018-10-12 (NC) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
Download PDF |
NC2018-15 |
|