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Spiking Neural Networks: A Stochastic Signal Processing Perspective


Dec 11, 2018
Hyeryung Jang, Osvaldo Simeone, Brian Gardner, André Grüning

* 21 pages, 6 figures 

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Learning First-to-Spike Policies for Neuromorphic Control Using Policy Gradients


Oct 25, 2018
Bleema Rosenfeld, Osvaldo Simeone, Bipin Rajendran

* Submitted for conference publication 

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Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing


Oct 23, 2018
Hyeryung Jang, Osvaldo Simeone

* 14 pages, 6 figures 

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A Brief Introduction to Machine Learning for Engineers


May 17, 2018
Osvaldo Simeone

* This is an expanded and improved version of the original posting. Feedback is welcome 

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Adversarial Training for Probabilistic Spiking Neural Networks


Feb 26, 2018
Alireza Bagheri, Osvaldo Simeone, Bipin Rajendran

* Submitted for possible publication. arXiv admin note: text overlap with arXiv:1710.10704 

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Training Probabilistic Spiking Neural Networks with First-to-spike Decoding


Feb 22, 2018
Alireza Bagheri, Osvaldo Simeone, Bipin Rajendran

* A shorter version will be published on Proc. IEEE ICASSP 2018 

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Modulation Classification via Gibbs Sampling Based on a Latent Dirichlet Bayesian Network


Aug 20, 2014
Yu Liu, Osvaldo Simeone, Alexander M. Haimovich, Wei Su

* Contains corrections with respect to the version to appear on IEEE Signal Processing Letters (see Fig. 2) 

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