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Paper Abstract and Keywords
Presentation 2024-10-17 11:15
Demonstration of Leaky-Integrate-and-Fire model utilizing ferromagnetic material CoFeB for photonic spiking neuron
Gaku Takagi, Yuya Shoji (Tokyo Tech) OCS2024-27 OPE2024-80 LQE2024-27
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, AI models have undergone remarkable advancements, and photonic accelerators are regarded as the next-generation hardware that could replace electronic accelerators. Current photonic accelerators based on artificial neural networks are designed to process linear operations of weighting at high speeds using light, while nonlinear operations like activation functions are processed electronically. This structure requires optoelectronic conversion at each layer of the neural network, preventing the full utilization of light’s high-speed processing. Therefore, we propose a photonic spiking neuron model based on magneto-optical effects, employing ferromagnetic materials CoFeB as synapses, and a photonic spiking neural network. In this study, we demonstrated that the heat accumulation and magnetization reversal of CoFeB induced by series of optical pulses can mimic the leaky integrate-and-fire model.
Keyword (in Japanese) (See Japanese page) 
(in English) ferromagnetic material / magneto-optical material / magneto-optical effect / photonic neural network / Leaky-Integrate-and-Fire / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 213, OCS2024-27, pp. 18-23, Oct. 2024.
Paper # OCS2024-27 
Date of Issue 2024-10-10 (OCS, OPE, LQE) 
ISSN Online edition: ISSN 2432-6380
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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)
Download PDF OCS2024-27 OPE2024-80 LQE2024-27

Conference Information
Committee OPE LQE OCS  
Conference Date 2024-10-17 - 2024-10-18 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To OCS 
Conference Code 2024-10-OPE-LQE-OCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Demonstration of Leaky-Integrate-and-Fire model utilizing ferromagnetic material CoFeB for photonic spiking neuron 
Sub Title (in English)  
Keyword(1) ferromagnetic material  
Keyword(2) magneto-optical material  
Keyword(3) magneto-optical effect  
Keyword(4) photonic neural network  
Keyword(5) Leaky-Integrate-and-Fire  
Keyword(6)  
Keyword(7)  
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1st Author's Name Gaku Takagi  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
2nd Author's Name Yuya Shoji  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
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Speaker Author-1 
Date Time 2024-10-17 11:15:00 
Presentation Time 25 minutes 
Registration for OCS 
Paper # OCS2024-27, OPE2024-80, LQE2024-27 
Volume (vol) vol.124 
Number (no) no.213(OCS), no.214(OPE), no.215(LQE) 
Page pp.18-23 
#Pages 6 
Date of Issue 2024-10-10 (OCS, OPE, LQE) 

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