| PHYSICA D-NONLINEAR PHENOMENA | 卷:179 |
| Emergence of synchronous oscillations in neural networks excited by noise | |
| Article | |
| Zorzano, MP ; Vázquez, L | |
| 关键词: neurons; FitzHugh-Nagumo; nonlinearity; emergence; stochastic resonance; noise; Fokker-Planck equation; | |
| DOI : 10.1016/S0167-2789(03)00007-1 | |
| 来源: Elsevier | |
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【 摘 要 】
The presence of noise in nonlinear dynamical systems can play a constructive role, increasing the degree of order and coherence or evoking improvements in the performance of the system. An example of this positive influence in a biological system is the impulse transmission in neurons and the synchronization of a neural network. Integrating numerically the Fokker-Planck (FP) equation we show a self-induced synchronized oscillation. Such an oscillatory state appears in a neural network coupled with a feedback term, when this system is excited by noise and the noise strength is within a certain range. (C) 2003 Elsevier Science B.V. All rights reserved.
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| Files | Size | Format | View |
|---|---|---|---|
| 10_1016_S0167-2789(03)00007-1.pdf | 751KB |
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