An Area- and Energy-Efficient Spiking Neural Network With Spike-Time-Dependent Plasticity Realized With SRAM Processing-in-Memory Macro and On-Chip Unsupervised Learning-Reference-Cited by-同舟云学术

An Area- and Energy-Efficient Spiking Neural Network With Spike-Time-Dependent Plasticity Realized With SRAM Processing-in-Memory Macro and On-Chip Unsupervised Learning

Published:2023-02 Issue:1 Volume:17 Page:92-104
ISSN:1932-4545
Container-title:IEEE Transactions on Biomedical Circuits and Systems
language:
Short-container-title:IEEE Trans. Biomed. Circuits Syst.

Author:

Liu Shuang¹^ORCID,Wang J. J.¹^ORCID,Zhou J. T.¹^ORCID,Hu S. G.¹^ORCID,Yu Q.¹^ORCID,Chen T. P.²^ORCID,Liu Y.¹^ORCID

Affiliation:

1. State Key Laboratory of Thin Solid Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu, China

2. Nanyang Technological University, Singapore

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/4156126/10088169/10036946.pdf?arnumber=10036946

Reference41 articles.

1. Area- and Energy-Efficient STDP Learning Algorithm for Spiking Neural Network SoC

2. The StrongARM Latch [A Circuit for All Seasons]

3. Processing-In-Memory-Based On-Chip Learning With Spike-Time-Dependent Plasticity in 65-nm CMOS

4. 4-Bit R-2R DAC in 18nm FinFET technology;gowda;Proc IEEE Int Conf Circuits Controls Commun,0

5. Presynaptic Spike-Driven Spike Timing-Dependent Plasticity With Address Event Representation for Large-Scale Neuromorphic Systems

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