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Paper Abstract and Keywords
Presentation 2020-01-25 10:30
Mathematical modeling of spintronics neuron device based on thermal dynamics
Yushi Kikuchi, Taku Sato, Aleksandr Kurenkov, Yoshihiko Horio, Shunsuke Fukami (TU) NLP2019-104
Abstract (in Japanese) (See Japanese page) 
(in English) Spintronics device has been shown to reproduce some functionalities of synapse (i.e. spike-timing-dependent plasticity) and of a neuron (i.e. leaky integrate-and-fire: LIF) by same materials. In addition, these devices take advantage of its internal thermal dynamics to mimic neuronal temporal dynamics. The spintronics neuron devices are stochastic switching devices whose switching probability depends on the internal temperature. Thus, the switching probability changes through the device temperature controlled by input pulse series. In our model, the device internal temperature is regarded as an internal state of the LIF neuron. On the other hand, the switching is treated as firing/non-firing. Finally, the switching probability characteristics according to the input pulse frequency gives an output function of the proposed neuron model.
Keyword (in Japanese) (See Japanese page) 
(in English) Spintronics / leaky integrate-and-fire neuron / brainmorphic computing / thermal dynamics / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 381, NLP2019-104, pp. 99-104, Jan. 2020.
Paper # NLP2019-104 
Date of Issue 2020-01-16 (NLP) 
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)
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Conference Information
Committee NLP NC  
Conference Date 2020-01-23 - 2020-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Miyakojima Marine Terminal 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NLP 
Conference Code 2020-01-NLP-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Mathematical modeling of spintronics neuron device based on thermal dynamics 
Sub Title (in English)  
Keyword(1) Spintronics  
Keyword(2) leaky integrate-and-fire neuron  
Keyword(3) brainmorphic computing  
Keyword(4) thermal dynamics  
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1st Author's Name Yushi Kikuchi  
1st Author's Affiliation Tohoku University (TU)
2nd Author's Name Taku Sato  
2nd Author's Affiliation Tohoku University (TU)
3rd Author's Name Aleksandr Kurenkov  
3rd Author's Affiliation Tohoku University (TU)
4th Author's Name Yoshihiko Horio  
4th Author's Affiliation Tohoku University (TU)
5th Author's Name Shunsuke Fukami  
5th Author's Affiliation Tohoku University (TU)
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Speaker Author-1 
Date Time 2020-01-25 10:30:00 
Presentation Time 20 minutes 
Registration for NLP 
Paper # NLP2019-104 
Volume (vol) vol.119 
Number (no) no.381 
Page pp.99-104 
#Pages 6 
Date of Issue 2020-01-16 (NLP) 

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