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Paper Abstract and Keywords
Presentation 2019-06-17 14:15
Effects of excitatory/inhibitory balance of a spiking neuron model on the organization of neural network
Jihoon Park, Motohiro Ogura, Yuji Kawai, Minoru Asada (Osaka Univ.) NC2019-4
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, a spiking neural network model is examined to study how the balance between excitatory and inhibitory neurons (E/I balance) in the brain is related to the self-organization of connectivity between neurons and neuron groups. The model is composed of two neuron groups, each of which consists of excitatory and inhibitory spiking neurons. The number of the inhibitory neurons or the weights of the inhibitory synapses are used to control the E/I balance. Experimental results showed that strong connections formed and transfer entropy became large between the neuron groups when the E/I balance was close to a typical one (4:1). In contrast, an increase in the E/I ratio (i.e. weak inhibition) resulted in asymmetric connections and small transfer entropy between the neuron groups.
Keyword (in Japanese) (See Japanese page) 
(in English) Autism spectrum disorder / Spiking neuron model / Self-organization / Network connectivity / Transfer entropy / E/I balance / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 88, NC2019-4, pp. 15-20, June 2019.
Paper # NC2019-4 
Date of Issue 2019-06-10 (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 NC2019-4

Conference Information
Committee NC IBISML IPSJ-MPS IPSJ-BIO  
Conference Date 2019-06-17 - 2019-06-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Institute of Science and Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Neurocomputing, Machine Learning Approach to Biodata Mining, and General 
Paper Information
Registration To NC 
Conference Code 2019-06-NC-IBISML-MPS-BIO 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Effects of excitatory/inhibitory balance of a spiking neuron model on the organization of neural network 
Sub Title (in English)  
Keyword(1) Autism spectrum disorder  
Keyword(2) Spiking neuron model  
Keyword(3) Self-organization  
Keyword(4) Network connectivity  
Keyword(5) Transfer entropy  
Keyword(6) E/I balance  
Keyword(7)  
Keyword(8)  
1st Author's Name Jihoon Park  
1st Author's Affiliation Institute for Open and Transdisciplinary Research Initiatives, Osaka University (Osaka Univ.)
2nd Author's Name Motohiro Ogura  
2nd Author's Affiliation Graduate School of Engineering, Osaka University (Osaka Univ.)
3rd Author's Name Yuji Kawai  
3rd Author's Affiliation Institute for Open and Transdisciplinary Research Initiatives, Osaka University (Osaka Univ.)
4th Author's Name Minoru Asada  
4th Author's Affiliation Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2019-06-17 14:15:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2019-4 
Volume (vol) vol.119 
Number (no) no.88 
Page pp.15-20 
#Pages 6 
Date of Issue 2019-06-10 (NC) 

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