918 citations · 2.5k across the 22 of their papers we have counts for
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Training Multi-layer Spiking Neural Networks using NormAD based Spatio-Temporal Error Backpropagation
Navin Anwani, Bipin Rajendran
Spiking neural networks (SNNs) have garnered a great amount of interest for supervised and unsupervised learning applications. This paper deals with the problem of training multi-l…
Learning First-to-Spike Policies for Neuromorphic Control Using Policy Gradients
Bleema Rosenfeld, Osvaldo Simeone, Bipin Rajendran
Artificial Neural Networks (ANNs) are currently being used as function approximators in many state-of-the-art Reinforcement Learning (RL) algorithms. Spiking Neural Networks (SNNs)…
Adversarial Training for Probabilistic Spiking Neural Networks
Alireza Bagheri, Osvaldo Simeone, Bipin Rajendran
Classifiers trained using conventional empirical risk minimization or maximum likelihood methods are known to suffer dramatic performance degradations when tested over examples adv…