Memristor-based Deep Spiking Neural Network with a Computing-In-Memory Architecture

Author:

Nowshin Fabiha1,Yi Yang1

Affiliation:

1. Virginia Tech,Department of Electrical and Computer Engineering,Blacksburg,VA,USA

Funder

National Science Foundation

Publisher

IEEE

Cited by 10 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. Training Process of Memristor-Based Spiking Neural Networks For Non-linearity;2024 International VLSI Symposium on Technology, Systems and Applications (VLSI TSA);2024-04-22

2. Advancing Analog Reservoir Computing through Temporal Attention and MLP Integration;2024 25th International Symposium on Quality Electronic Design (ISQED);2024-04-03

3. Neuromorphic Analog Machine Vision Enabled by Nanoelectronic Memristive Devices;Applied Sciences;2023-12-16

4. Spiking Neural Encoding and Hardware Implementations for Neuromorphic Computing;Neuromorphic Computing;2023-11-15

5. "S3cure": Scramble, Shuffle and Shambles - Secure Deployment of Weight Matrices in Memristor Crossbar Arrays;Proceedings of the 2023 International Conference on Neuromorphic Systems;2023-08

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