most citedIteration over event space in time-to-first-spike spiking neural networks for Twitter bot classification

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.NE2024★ 1 cited

Iteration over event space in time-to-first-spike spiking neural networks for Twitter bot classification

Mateusz Pabian, Dominik Rzepka, Mirosław Pawlak

This study proposes a framework that extends existing time-coding time-to-first-spike spiking neural network (SNN) models to allow processing information changing over time. We exp…

cs.IT2023

Bayes Risk Consistency of Nonparametric Classification Rules for Spike Trains Data

Mirosław Pawlak, Mateusz Pabian, Dominik Rzepka

Spike trains data find a growing list of applications in computational neuroscience, imaging, streaming data and finance. Machine learning strategies for spike trains are based on…