Real-Time Anomaly Detection Using Hardware-based Unsupervised Spiking Neural Network (TinySNN)
Author:
Affiliation:
1. The MARCS Institute International Centre for Neuromorphic Systems Western Sydney University,AU
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10595551/10595675/10595773.pdf?arnumber=10595773
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1. A Biologically Plausible Speech Recognition Framework Based on Spiking Neural Networks
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3. A survey on neural networks for (cyber-) security and (cyber-) security of neural networks;Pawlicki;Neurocomputing,2022
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1. FPGA-Based Spiking Neural Networks;Recent Advances in Neuromorphic Computing [Working Title];2024-08-09
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