Spike Timing Dependent Gradient for Direct Training of Fast and Efficient Binarized Spiking Neural Networks-Reference-Cited by-同舟云学术

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Spike Timing Dependent Gradient for Direct Training of Fast and Efficient Binarized Spiking Neural Networks

Published:2023-12 Issue:4 Volume:13 Page:1083-1093
ISSN:2156-3357
Container-title:IEEE Journal on Emerging and Selected Topics in Circuits and Systems
language:
Short-container-title:IEEE J. Emerg. Sel. Topics Circuits Syst.

Author:

Cai Zhengyu¹,Kalatehbali Hamid Rahimian²,Walters Ben³^ORCID,Rahimi Azghadi Mostafa³^ORCID,Amirsoleimani Amirali²^ORCID,Genov Roman¹^ORCID

Affiliation:

1. Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada

2. Lassonde School of Engineering, York University, Toronto, Canada

3. College of Science and Engineering, James Cook University, Townsville, QLD, Australia

Funder

Natural Sciences and Engineering Research Council of Canada (NSERC) HIDATA project

ERC-CoG IONOS

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/5503868/10375869/10304075.pdf?arnumber=10304075

Reference58 articles.

1. Quantifying Input and Output Spike Statistics of a Winner-Take-All Network in a Vision System

2. Deep learning in spiking neural networks

3. Complementary Metal‐Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing

4. Deep Learning With Spiking Neurons: Opportunities and Challenges

5. Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications

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1. Efficient sparse spiking auto-encoder for reconstruction, denoising and classification;Neuromorphic Computing and Engineering;2024-08-02

2. Advancing Image Classification with Phase-coded Ultra-Efficient Spiking Neural Networks;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

3. Guest Editorial Dynamical Neuro-AI Learning Systems: Devices, Circuits, Architecture and Algorithms;IEEE Journal on Emerging and Selected Topics in Circuits and Systems;2023-12

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