An integrate-and-fire model to generate spike trains with long-range dependence
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Publication:1628248
DOI10.1007/s10827-018-0680-1zbMath1402.92110arXiv1702.03762OpenAlexW2792805563WikidataQ52637965 ScholiaQ52637965MaRDI QIDQ1628248
Patricio Orio, Etienne Tanré, Alexandre Richard
Publication date: 4 December 2018
Published in: Journal of Computational Neuroscience (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1702.03762
Related Items (3)
Fractional Ornstein-Uhlenbeck process with stochastic forcing, and its applications ⋮ Fractionally integrated Gauss-Markov processes and applications ⋮ Sample paths estimates for stochastic fast-slow systems driven by fractional Brownian motion
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