A Numerical Study of the Time of Extinction in a Class of Systems of Spiking Neurons
Author:
Funder
Fundação de Amparo à Pesquisa do Estado de São Paulo
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Publisher
Springer Science and Business Media LLC
Subject
Mathematical Physics,Statistical and Nonlinear Physics
Link
https://link.springer.com/content/pdf/10.1007/s10955-022-03060-9.pdf
Reference28 articles.
1. André, M., Planche, L.: The effect of graph connectivity on metastability in a stochastic system of spiking neurons. Stoch. Process. Appl. 131, 292–310 (2021)
2. André, M.: A result of metastability for an infinite system of spiking neurons. J. Stat. Phys. 177(5), 984–1008 (2019)
3. Brillinger, D.R.: Maximum likelihood analysis of spike trains of interacting nerve cells. Biol. Cybern. 59(3), 189–200 (1988)
4. Brochini, L., de Andrade Costa, A., Abadi, M., Roque, A.C., Stolfi, J., Kinouchi, O.: Phase transitions and self-organized criticality in networks of stochastic spiking neurons. Sci. Rep. 6, 35831 (2016)
5. Brunel, N.: Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons. J. Comput. Neurosci. 8(3), 183–208 (2000)
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