FPGA-based Fault-injection and Data Acquisition of Self-repairing Spiking Neural Network Hardware-Reference-Cited by-同舟云学术

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FPGA-based Fault-injection and Data Acquisition of Self-repairing Spiking Neural Network Hardware

Published:2018-05 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Karim Shvan,Harkin Jim,McDaid Liam,Gardiner Bryan,Liu Junxiu,Halliday David M.,Tyrrell Andy M.,Timmis Jon,Millard Alan G.,Johnson Anju P.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8334884/8350884/08351512.pdf?arnumber=8351512

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Testing and Reliability of Spiking Neural Networks: A Review of the State-of-the-Art;2023 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT);2023-10-03

2. Hardware-Efficient Design and Implementation of a Spiking Neural Model With Noisy Astrocyte;IEEE Access;2023

3. Smart Japanese listening course design based on data intelligent analysis and FPGA;Microprocessors and Microsystems;2021-06

4. A Neuromorphic Digital Circuit for Neuronal Information Encoding Using Astrocytic Calcium Oscillations;Frontiers in Neuroscience;2019-10-09

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