Synchrony and variability induced by spatially correlated additive and multiplicative noise in the coupled Langevin model

Abstract

The synchrony and variability have been discussed of the coupled Langevin model subjected to spatially correlated additive and multiplicative noise. We have employed numerical simulations and the analytical augmented-moment method which is the second-order moment method for local and global variables [H. Hasegawa, Phys. Rev. E {\bf 67}, 041903 (2003)]. It has been shown that the synchrony of an ensemble is increased (decreased) by a positive (negative) spatial correlation in both additive and multiplicative noise. Although the variability for local fluctuations is almost insensitive to spatial correlations, that for global fluctuations is increased (decreased) by positive (negative) correlations. When a pulse input is applied, the synchrony is increased for the correlated multiplicative noise, whereas it may be decreased for correlated additive noise coexisting with uncorrelated multiplicative noise. An application of our study to neuron ensembles has demonstrated the possibility that information is conveyed by the variance and synchrony in input signals, which accounts for some neuronal experiments.

17 pages, 5 figures; accepted in Phys. Rev. E with a changed title and minor modifications

References in corpus (4)

• Generalized Rate-Code Model for Neuron Ensembles with Finite Populations
• Stationary and dynamical properties of finite $N$-unit Langevin models subjected to multiplicative noises
• Stationary and dynamical properties of information entropies in nonextensive systems
• Effects of correlated variability on information entropies in nonextensive systems

Cited by in corpus (1)

• Dynamics of Information Entropies in Nonextensive Systems