An Optimized Deep Spiking Neural Network Architecture Without Gradients
Author:
Affiliation:
1. International Centre for Neuromorphic Systems, MARCS Institute, Western Sydney University, Sydney, NSW, Australia
Funder
Commonwealth of Australia through the Next Generation Technology Fund (NGTF) Cyber Call 2019
Defence Science and Technology Group, Department of Defence
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09864144.pdf?arnumber=9864144
Reference78 articles.
1. Is Neuromorphic MNIST Neuromorphic? Analyzing the Discriminative Power of Neuromorphic Datasets in the Time Domain
2. Supervised Learning Based on Temporal Coding in Spiking Neural Networks
3. Training Deep Spiking Neural Networks Using Backpropagation
4. BP-STDP: Approximating backpropagation using spike timing dependent plasticity
5. Time-Warp–Invariant Neuronal Processing
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