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Paper Abstract and Keywords
Presentation 2017-11-09 14:30
Cooperation between noise and neural activity in the cortical network model
Hisashi Kada (Ritsumeikan Univ.), Jun-nosuke Teramae (Osaka University), Isao T. Tokuda (Ritsumeikan Univ.) CCS2017-23
Abstract (in Japanese) (See Japanese page) 
(in English) In cortical networks, spontaneous firing activities characterized by irregulars and asynchronous neuronal firings have been widely observed. Despite numerous theoretical attempts, the mechanism underling the spontaneous firing activity remained unclear. Teramae et al., (2012), has recently proposed a neural network model with lognormally distributed EPSPs (Excitatory Postsynaptic Potentials). It has clarified that coexistence of many weak and few extremely strong EPSPs play an importance role for sustaining the low firing neural activities. Although the model is based on a deterministic nonlinear system, neuronal activities in the cortex are known to be inherently noisy including various stochastic factors. To examine the cooperatively between the lognormal network and stochastic dynamics, this paper introduces Poisson noise as an external input source to the lognormal cortical network. First, we show that a network of lognormally distributed EPSPs requires much lower frequency of noise than that of normally distributed EPSPs to sustain spontaneous firings. Then, simulations with binomial distribution suggest that coexistence of many weak and few extremely strong EPSPs are the keys to realize spontaneous firing activities with low-frequency noise
Keyword (in Japanese) (See Japanese page) 
(in English) Cortical networks / Excitatory postsynaptic potentials / Inhibitory postsynaptic potentials / lognormal distribution / Poisson noise / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 288, CCS2017-23, pp. 15-19, Nov. 2017.
Paper # CCS2017-23 
Date of Issue 2017-11-02 (CCS) 
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 CCS2017-23

Conference Information
Committee CCS  
Conference Date 2017-11-09 - 2017-11-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To CCS 
Conference Code 2017-11-CCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Cooperation between noise and neural activity in the cortical network model 
Sub Title (in English)  
Keyword(1) Cortical networks  
Keyword(2) Excitatory postsynaptic potentials  
Keyword(3) Inhibitory postsynaptic potentials  
Keyword(4) lognormal distribution  
Keyword(5) Poisson noise  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Hisashi Kada  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
2nd Author's Name Jun-nosuke Teramae  
2nd Author's Affiliation Osaka University (Osaka University)
3rd Author's Name Isao T. Tokuda  
3rd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
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Speaker Author-1 
Date Time 2017-11-09 14:30:00 
Presentation Time 25 minutes 
Registration for CCS 
Paper # CCS2017-23 
Volume (vol) vol.117 
Number (no) no.288 
Page pp.15-19 
#Pages 5 
Date of Issue 2017-11-02 (CCS) 

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