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Paper Abstract and Keywords
Presentation 2015-08-06 13:45
Parameter estimation of the spiking neuron model
Hiroaki Kurokawa, Shunichi Komatsuzaki, Hideyuki Kato (Tokyo University of Technology) CCS2015-29
Abstract (in Japanese) (See Japanese page) 
(in English) The complex network structure realizes various functions in biological neuronal systems. The investigation of the signal flows in neuronal networks is one of the effectual method to investigate these functions. Each single neuron in the biological neuronal systems consists of multiple inputs and a single output. It is difficult to measure all input flows at once because the neuron has a huge number of inputs in general. However, it is comparatively easy to measure the single output by recent measurement techniques. In this study, we show the method to estimate the time sequence of total sum of the neuronal inputs by using measured time sequence of neuronal output. In our method, the simple spiking neuron model that had been proposed by Izhikevich is used. The parameters of the model and the input sequence is estimated so as to provide similar output sequence to the measured output sequence. In this method, the genetic algorithm is used for the estimation. In the simulations, our method is tested using artificially generated output time sequence data. The simulation results show the characteristics of our method, and we discuss the performances and potentialities of our method.
Keyword (in Japanese) (See Japanese page) 
(in English) spiking neuron model / parameter estimation / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 178, CCS2015-29, pp. 1-6, Aug. 2015.
Paper # CCS2015-29 
Date of Issue 2015-07-30 (CCS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee CCS  
Conference Date 2015-08-06 - 2015-08-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Dai-ichi Takimotokan (Noboribetsu, Hokkaido) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network Science, etc. 
Paper Information
Registration To CCS 
Conference Code 2015-08-CCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Parameter estimation of the spiking neuron model 
Sub Title (in English)  
Keyword(1) spiking neuron model  
Keyword(2) parameter estimation  
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1st Author's Name Hiroaki Kurokawa  
1st Author's Affiliation Tokyo University of Technology (Tokyo University of Technology)
2nd Author's Name Shunichi Komatsuzaki  
2nd Author's Affiliation Tokyo University of Technology (Tokyo University of Technology)
3rd Author's Name Hideyuki Kato  
3rd Author's Affiliation Tokyo University of Technology (Tokyo University of Technology)
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Speaker Author-1 
Date Time 2015-08-06 13:45:00 
Presentation Time 25 minutes 
Registration for CCS 
Paper # CCS2015-29 
Volume (vol) vol.115 
Number (no) no.178 
Page pp.1-6 
#Pages 6 
Date of Issue 2015-07-30 (CCS) 

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