Spike Counts Based Low Complexity SNN Architecture With Binary Synapse
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Biomedical Circuits and Systems"
DOI: 10.1109/tbcas.2019.2945406
Abstract: In this paper, we present an energy and area efficient spike neural network (SNN) processor based on novel spike counts based methods. For the low cost SNN design, we propose hardware-friendly complexity reduction techniques for… read more here.
Keywords: snn; counts based; low complexity; spike counts ... See more keywords
An Efficient and Flexible Spike Train Model Via Empirical Bayes
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2021.3076885
Abstract: Accurate statistical models of neural spike responses can characterize the information carried by neural populations. But the limited samples of spike counts during recording usually result in model overfitting. Besides, current models assume spike counts… read more here.
Keywords: efficient flexible; empirical bayes; glm; model ... See more keywords