Paper
25 May 2004 Super-sensitive stochastic resonance in a small-dimensional excitable network
Author Affiliations +
Proceedings Volume 5467, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems II; (2004) https://doi.org/10.1117/12.547050
Event: Second International Symposium on Fluctuations and Noise, 2004, Maspalomas, Gran Canaria Island, Spain
Abstract
We study a system of globally coupled FitzHugh-Nagumo equations as a stochastic resonator. Each unit is either excitatory or inhibitory. If the numbers of units of both types are nearly equal (balanced coupling), we observe the presence of multistable oscillatory states with different excitation or firing rates. In the presence of noise, random transitions between high- and low-frequency oscillatory states are observed and the resultant firing pattern is long-range correlated. Compared to other coupling types, the system demonstrates considerably improved rate-coding ability for both subthreshold and suprathreshold signals, even with a tiny level of noise.
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Leonid A. Safonov and Yoshiharu Yamamoto "Super-sensitive stochastic resonance in a small-dimensional excitable network", Proc. SPIE 5467, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems II, (25 May 2004); https://doi.org/10.1117/12.547050
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KEYWORDS
Interference (communication)

Stochastic processes

Brain

Neurons

Brain stem

Resonators

Systems modeling

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