BS4NN: Binarized spiking neural networks with temporal coding and learning

SR Kheradpisheh, M Mirsadeghi… - Neural Processing …, 2022 - Springer
We recently proposed the S4NN algorithm, essentially an adaptation of backpropagation to
multilayer spiking neural networks that use simple non-leaky integrate-and-fire neurons and …

BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning

SR Kheradpisheh, M Mirsadeghi… - arXiv preprint arXiv …, 2020 - arxiv.org
We recently proposed the S4NN algorithm, essentially an adaptation of backpropagation to
multilayer spiking neural networks that use simple non-leaky integrate-and-fire neurons and …

BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning

SR Kheradpisheh, M Mirsadeghi… - Neural Processing …, 2022 - search.proquest.com
We recently proposed the S4NN algorithm, essentially an adaptation of backpropagation to
multilayer spiking neural networks that use simple non-leaky integrate-and-fire neurons and …

[PDF][PDF] BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning

SR Kheradpisheh, M Mirsadeghi, T Masquelier - researchgate.net
We recently proposed the S4NN algorithm, essentially an adaptation of backpropagation to
multilayer spiking neural networks that use simple nonleaky integrate-and-fire neurons and …

[PDF][PDF] BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning

SR Kheradpisheh, M Mirsadeghi, T Masquelier - academia.edu
We recently proposed the S4NN algorithm, essentially an adaptation of backpropagation to
multilayer spiking neural networks that use simple nonleaky integrate-and-fire neurons and …

BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning

SR Kheradpisheh, M Mirsadeghi… - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
We recently proposed the S4NN algorithm, essentially an adaptation of backpropagation to
multilayer spiking neural networks that use simple non-leaky integrate-and-fire neurons and …

BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning

SR Kheradpisheh, M Mirsadeghi, T Masquelier - 2020 - hal.science
We recently proposed the S4NN algorithm, essentially an adaptation of backpropagation to
multilayer spiking neural networks that use simple non-leaky integrate-and-fire neurons and …

BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning

SR Kheradpisheh, M Mirsadeghi… - Neural Processing …, 2022 - dl.acm.org
We recently proposed the S4NN algorithm, essentially an adaptation of backpropagation to
multilayer spiking neural networks that use simple non-leaky integrate-and-fire neurons and …

BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning

SR Kheradpisheh, M Mirsadeghi… - Neural Processing …, 2021 - hal.science
We recently proposed the S4NN algorithm, essentially an adaptation of backpropagation to
multilayer spiking neural networks that use simple nonleaky integrate-and-fire neurons and …

[PDF][PDF] BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning

SR Kheradpisheh, M Mirsadeghi, T Masquelier - researchgate.net
We recently proposed the S4NN algorithm, essentially an adaptation of backpropagation to
multilayer spiking neural networks that use simple nonleaky integrate-and-fire neurons and …