Flows of cars and neural spikes enhanced by colored noise

abstract

• 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.

authors

• Kish, Laszlo

published proceedings

• Physics Letters A

author list (cited authors)

• Kish, L. B., & Bezrukov, S. M.

citation count

• 6

complete list of authors

• Kish, Laszlo B||Bezrukov, Sergey M

publication date

• January 2000

publisher

• Elsevier  Publisher

published in

• Physics Letters, Section A: General, Atomic and Solid State Physics  Journal

Digital Object Identifier (DOI)

• 10.1016/s0375-9601(00)00058-x

start page

• 271

end page

• 275

volume

• 266

issue

• 4-6

URL

• http://dx.doi.org/10.1016/s0375-9601(00)00058-x