On-the-Fly Learning With Mixed-Mode Spiking Neural Network and Passive Memristive Array: Application to Neuromorphic Cameras-Reference-Cited by-同舟云学术

On-the-Fly Learning With Mixed-Mode Spiking Neural Network and Passive Memristive Array: Application to Neuromorphic Cameras

Published:2023 Issue: Volume:11 Page:146103-146121
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Lewden Pierre¹^ORCID,Vincent Adrien F.²^ORCID,Tomas Jean²,Saïghi Sylvain¹^ORCID

Affiliation:

1. CNRS@CREATE, 1 Create Way, Singapore

2. Univ. Bordeaux, CNRS, Bordeaux INP, IMS, UMR 5218, Talence, France

Funder

European Union’s Horizon 2020 Research Innovation Programme (Ultra-Low Power Eventbased Camera

French National Research Agency

“Chaires Intelligence Artificielle (IA)” Program (Green Artificial Intelligence

“Programmes et Équipements Prioritaires de Recherche (PEPR) IA” Program

Programme DesCartes

National Research Foundation, Prime Minister’s Office, Singapore, under its Campus for Research Excellence and Technological Enterprise (CREATE) Programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10373045.pdf?arnumber=10373045

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5. GPU implementation of neural networks

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