Validation of a CMOS SNN network based on a time-domain threshold neuron circuit achieving 114.90 pJ/inference on MNIST
Author:
Affiliation:
1. Carlos III University,Electronic Tech. Dept.,Leganes,Spain
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10168547/10168548/10168617.pdf?arnumber=10168617
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1. Energy-Efficient High-Accuracy Spiking Neural Network Inference Using Time-Domain Neurons
2. The fine line between dead neurons and sparsity in binarized spiking neural networks;eshraghian,2022
3. Backpropagation for energy-efficient neuromorphic computing;esser;NIPS,2015
4. Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype
5. Navigating Local Minima in Quantized Spiking Neural Networks
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2. A Scalable and PVT Invariant Spiking Neuron Using Asynchronous CMOS Logic;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19
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