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Paper Abstract and Keywords
Presentation 2017-06-23 15:15
Artificial cerebellar neuronal network model for context dependent flexible motor learning
Shogo Takatori, Keiichiro Inagaki, Yutaka Hirata (Chubu Univ.) NC2017-7
Abstract (in Japanese) (See Japanese page) 
(in English) The vestibule-ocular reflex (VOR) has been one of the most popular model systems to investigate the role of the cerebellum in adaptive motor control. VOR motor learning is induced by continuous application of head rotating stimulus combined with optokinetic visual stimulus. For instance, in-phase application of those stimuli increases VOR gain defined by eye velocity of VOR in the dark divided by head velocity, while out-of-phase application of those decreases VOR gain. Recently, it was reported that performance of the VOR is modifiable context-dependently. Namely, VOR gain can be increased for leftward head rotation, while it can be decreased for rightward head rotation simultaneously. This instance implies the possibility that the cerebellum flexibly processes context dependent input signals. In the VOR motor learning, it is considered that long term depression and long term potentiation at the synapses between parallel fibers and Purkinje cells play a key role. Moreover, it has been revealed that different modality of input signals of VOR are tuned for gain increase and gain decrease learning. Cerebellar signal processing underlying context dependent motor learning, however, is not fully uncovered. Presently, we conducted a simulation study on context dependent VOR motor learning, using the artificial cerebellar neuronal network model that we developed to understand the origin of the flexible cerebellar motor learning.
Keyword (in Japanese) (See Japanese page) 
(in English) Eye movement / Vestibular system / Spike timing dependent plasticity / Large scale simulation, / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 109, NC2017-7, pp. 15-20, June 2017.
Paper # NC2017-7 
Date of Issue 2017-06-16 (NC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 NC IPSJ-BIO IBISML IPSJ-MPS  
Conference Date 2017-06-23 - 2017-06-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Institute of Science and Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning Approach to Biodata Mining, and General 
Paper Information
Registration To NC 
Conference Code 2017-06-NC-BIO-IBISML-MPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Artificial cerebellar neuronal network model for context dependent flexible motor learning 
Sub Title (in English)  
Keyword(1) Eye movement  
Keyword(2) Vestibular system  
Keyword(3) Spike timing dependent plasticity  
Keyword(4) Large scale simulation,  
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1st Author's Name Shogo Takatori  
1st Author's Affiliation Chubu University (Chubu Univ.)
2nd Author's Name Keiichiro Inagaki  
2nd Author's Affiliation Chubu University (Chubu Univ.)
3rd Author's Name Yutaka Hirata  
3rd Author's Affiliation Chubu University (Chubu Univ.)
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Speaker Author-1 
Date Time 2017-06-23 15:15:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2017-7 
Volume (vol) vol.117 
Number (no) no.109 
Page pp.15-20 
#Pages
Date of Issue 2017-06-16 (NC) 


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