Role of Noise in Complex Networks of FitzHugh-Nagumo Neurons

Journal Article · Sun Nov 13 23:00:00 EST 2005 · AIP Conference Proceedings

DOI:https://doi.org/10.1063/1.2138637· OSTI ID:20719647

Fortuna, Luigi; Frasca, Mattia ^[1]; La Rosa, Manuela ^[1]

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1. Dipartimento Elettrico Elettronico e dei Sistemi, Universita degli Studi di Catania, viale A. Doria 6, 95125 Catania (Italy)

This paper deals with the open question related to the role of noise in complex networks of interconnected FitzHugh-Nagumo neurons. In this paper this problem is faced with extensive simulations of different network topologies. The results show that several topologies behave in an optimal way with respect to the range of noise level leading to an improvement in the stimulus-response coherence, while other with respect to the maximum values of the performance index. The best results in terms of both the suitable noise level and high stimulus response coherence have been obtained when a diversity in neuron characteristic parameters has been introduced and the neurons have been connected in a small-world topology.

• OSTI ID: 20719647
• Journal Information: AIP Conference Proceedings, Journal Name: AIP Conference Proceedings Journal Issue: 1 Vol. 800; ISSN APCPCS; ISSN 0094-243X
• Country of Publication: United States
• Language: English

Related Subjects

71 CLASSICAL AND QUANTUM MECHANICS
GENERAL PHYSICS
COEFFICIENT OF PERFORMANCE
NERVE CELLS
NETWORK ANALYSIS
NEURAL NETWORKS
NOISE
SIMULATION
STIMULI
TOPOLOGY