A Neuromorphic Spiking Neural Network Using Time-to-First-Spike Coding Scheme and Analog Computing in Low-Leakage 8T SRAM-Reference-Cited by-同舟云学术

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A Neuromorphic Spiking Neural Network Using Time-to-First-Spike Coding Scheme and Analog Computing in Low-Leakage 8T SRAM

Published:2024-05 Issue:5 Volume:32 Page:848-859
ISSN:1063-8210
Container-title:IEEE Transactions on Very Large Scale Integration (VLSI) Systems
language:
Short-container-title:IEEE Trans. VLSI Syst.

Author:

Chen Chao-Yu¹^ORCID,Dai Yan-Siou¹,Hong Hao-Chiao¹^ORCID

Affiliation:

1. Institute of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

Funder

National Science and Technology Council, Taiwan

Ministry of Economic Affairs, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/92/10508545/10456585.pdf?arnumber=10456585

Reference48 articles.

1. Attention in Natural Language Processing

2. Speech Recognition Using Deep Neural Networks: A Systematic Review

3. ImageNet classification with deep convolutional neural networks;Krizhevsky

4. 8T SRAM Cell as a Multibit Dot-Product Engine for Beyond Von Neumann Computing

5. A 7-nm Compute-in-Memory SRAM Macro Supporting Multi-Bit Input, Weight and Output and Achieving 351 TOPS/W and 372.4 GOPS

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