Abstract:
We develop an extension of the Ott-Antonsen method [E. Ott and T. M. Antonsen, Chaos 18(3), 037113 (2008)] that allows obtaining the mean activity (spiking rate) of a population of excitable units. By means of the Ott-Antonsen method, equations for the dynamics of the order parameters of coupled excitatory and inhibitory populations of excitable units are obtained, and their mean activities are computed. Two different excitable systems are studied: Adler units and theta neurons. The resulting bifurcation diagrams are compared with those obtained from studying the phenomenological Wilson-Cowan model in some regions of the parameter space. Compatible behaviors, as well as higher dimensional chaotic solutions, are observed. We study numerical simulations to further validate the equations.
Registro:
| Documento: |
Artículo
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| Título: | Average activity of excitatory and inhibitory neural populations |
| Autor: | Roulet, J.; Mindlin, G.B. |
| Filiación: | Department of Physics, FCEyN, UBA, IFIBA, CONICET, Ciudad Universitaria, Pab I, cp 1428, Buenos Aires, Argentina
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| Año: | 2016
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| Volumen: | 26
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| Número: | 9
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| DOI: |
http://dx.doi.org/10.1063/1.4962326 |
| Título revista: | Chaos
|
| Título revista abreviado: | Chaos
|
| ISSN: | 10541500
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| Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_10541500_v26_n9_p_Roulet |
Referencias:
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Citas:
---------- APA ----------
Roulet, J. & Mindlin, G.B.
(2016)
. Average activity of excitatory and inhibitory neural populations. Chaos, 26(9).
http://dx.doi.org/10.1063/1.4962326---------- CHICAGO ----------
Roulet, J., Mindlin, G.B.
"Average activity of excitatory and inhibitory neural populations"
. Chaos 26, no. 9
(2016).
http://dx.doi.org/10.1063/1.4962326---------- MLA ----------
Roulet, J., Mindlin, G.B.
"Average activity of excitatory and inhibitory neural populations"
. Chaos, vol. 26, no. 9, 2016.
http://dx.doi.org/10.1063/1.4962326---------- VANCOUVER ----------
Roulet, J., Mindlin, G.B. Average activity of excitatory and inhibitory neural populations. Chaos. 2016;26(9).
http://dx.doi.org/10.1063/1.4962326
