Stochastic resonance of localized activity driven by common noise

Authors:
Kosuke Hamaguchi;Masato Okada;Shigeru Kubota;Kazuyuki Aihara
Affiliations:
RIKEN BSI, 2-1 Hirosawa Wako, Saitama, Japan;RIKEN BSI, 2-1 Hirosawa Wako, Saitama, Japan and Department of Complexity Science and Engineering, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba, 277-8561, Japan;Department of Bio-System Engineering, Yamagata University, 4-3-16 Jonan, 992-8510, Yonezawa, Yamagata, Japan;Institute of Industrial Science, University of Tokyo and ERATO Aihara Complexity Modeling Project JST, 4-6-1 Komaba, 153-8505, Tokyo, Meguro, Japan
Venue:
Biological Cybernetics
Year:
2005

Citing 0
Cited 2

Detection of Weak Signals by Emotion-Derived Stochastic Resonance

SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
Development of emotional tremor-based vision system

IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems

Quantified Score

Hi-index	0.01

Visualization

Abstract

We study the influence of spatially correlated noise on the transient dynamics of a recurrent network with Mexican-Hat-type connectivity. We derive the closed form of the order parameter functional in the thermodynamical limit of neuron number N. Our analysis shows that network dynamics is qualitatively changed by the presence of common noise. Network dynamics driven by common noise obtains the global level of fluctuation, which is not observed in a network driven by independent noise only. We show that the optimal level of global fluctuation enhances the transition from non-localized firing states to spatially localized firing states, and also enhances the rotation speed of localized activity.