Paper Abstract and Keywords |
Presentation |
2011-09-26 14:55
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 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The neural networks including chaotic properties in neurons are important studies to reveal the flexibile information processing mechanism of brain. But in conventional studies, chaotic properties are discussed in simplified neural networks, so chaotic phenomena in brain haven't been compared to in neural networks directly. Therefore, a Hodgkin-Huxley neural network(HHNN) is applied to make conform to approach phenomena in real brain. An autonomous transition related to chaos in both of brain and HHNN is observed in the simulation using HHNN. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Hodgkin-Huxley equation / Neural network / Chaotic associative memory / Electroencephalogram / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 111, no. 217, MBE2011-47, pp. 45-50, Sept. 2011. |
Paper # |
MBE2011-47 |
Date of Issue |
2011-09-19 (MBE) |
ISSN |
Print edition: ISSN 0913-5685 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 |
MBE2011-47 |
|