| Autor: |
Zheng G; ECS, ENSEA, 6 Avenue du Ponçeau, 95014, Cergy-Pontoise Cedex, France, Gang.Zheng@ensea.fr., Tonnelier A |
| Jazyk: |
angličtina |
| Zdroj: |
Cognitive neurodynamics [Cogn Neurodyn] 2009 Sep; Vol. 3 (3), pp. 197-204. Date of Electronic Publication: 2008 Nov 06. |
| DOI: |
10.1007/s11571-008-9069-6 |
| Abstrakt: |
The quadratic integrate-and-fire (QIF) model with adaptation is commonly used as an elementary neuronal model that reproduces the main characteristics of real neurons. In this paper, we introduce a QIF neuron with a nonlinear adaptive current. This model reproduces the neuron-computational features of real neurons and is analytically tractable. It is shown that under a constant current input chaotic firing is possible. In contrast to previous study the neuron is not sinusoidally forced. We show that the spike-triggered adaptation is a key parameter to understand how chaos is generated. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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