Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2010-08-09
Chaos 20 (2010) 033116
Physics
Condensed Matter
Disordered Systems and Neural Networks
7 two-column pages, 5 figures; accepted for publication in Chaos
Scientific paper
10.1063/1.3483876
In this paper, we examine the effects of correlated Gaussian noise on a two-dimensional neuronal network that is locally modeled by the Rulkov map. More precisely, we study the effects of the noise correlation on the variations of the mean firing rate and the correlations among neurons versus the noise intensity. Via numerical simulations, we show that the mean firing rate can always be optimized at an intermediate noise intensity, irrespective of the noise correlation. On the other hand, variations of the population coherence with respect to the noise intensity are strongly influenced by the ratio between local and global Gaussian noisy inputs. Biological implications of our findings are also discussed.
Kurths Jürgen
Lu Qishao
Perc Matjaz
Sun Xiaojuan
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