Flows of cars and neural spikes enhanced by colored noise
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The problem of interaction between cars at road junctions has been studied for a long time. It is well-known that the interaction generally decreases the traffic efficiency and that randomness in the car flow can help cross-junction traffic efficiency. We show that proper long-range correlations in the flow noise, related to 1/f-like noises, provide superior traffic properties as compared to Poissonian or periodic car traffic. Moreover, a stochastic resonance phenomenon sensitive to the shape of the spectrum occurs. By a small modification, the model can be made relevant for neuronal spike traffic. Spike trains generated by Gaussian 1/f noise show superior spike traffic properties and efficiency of information transfer. (C) 2000 Published by Elsevier Science B.V.
author list (cited authors)
Kish, L. B., & Bezrukov, S. M.
complete list of authors
Kish, Laszlo B||Bezrukov, Sergey M
Physics Letters A: General Physics, Nonlinear Science, Statistical Physics, Atomic, Molecular and Cluster Physics, Plasma and Fluid Physics, Condensed Matter, Cross-disciplinary Physics, Biological Physics, Nanosciences, Quantum Physics Journal