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Explore how spatially correlated noise impacts coherence resonance in networks of excitable cells. Investigate the combined effects of network structure and noise correlation, leading to changes in coherence dynamics. The study uses a FitzHugh-Nagumo neuron model and examines coherence measures in relation to noise correlation levels and network randomness.
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The effect of spatially correlated noiseon coherence resonancein a network of excitable cells 권오규, 조항현, 문희태 2005년 8월 8일
Stochastic Resonance • Single system • Single bistable system with periodic signal(=SR) • Single excitable system without external signal(=CR) • Extended system • Array enhance • Spatial independence noise enhance • Network topology
Our Model • Combine network effect and noise correlation effect noise elements network • As network randomness increases, • we can change both network structure and noise correlation
…… …… Model equation • FitzHugh-Nagumo neuron • Spatially correlated noise Independent gaussian random variables …… ……
Mean of firing interval S = Variance of firing interval 1 = Normalized Variance of firing interval Coherence measure • Degree of temporal coherence firing interval Larger S implies that firing intervals are more uniform
Results 1/4 • Increasing noise correlation when • If there is noise correlation, neurons begin to fire smaller noise for relatively strong coupling When regular network
Results 2/4 • Increasing long range interaction when • If coupling strength is not strong, long range connection further enhance coherent motion • For strong coupling, excitation is more difficult by long range connection When completely uncorrelated noise
Results 3/4 • Maximum coherence Smvs. randomness p very weak coupling optimal coupling very strong coupling rather weak coupling rather strong coupling
Results 4/4 Quantity of network topology rather strong coupling very strong coupling Dopt as a function of p
Conclusion • We can see diverse CR phenomena as a function of p for various coupling strength • We can obtain abrupt change of CR near p=0.1 • Clustered structure of the network is drastically fractured near p=0.1 • Spatially correlated noise enforces the role of the clustered structure