Issue |
EPL
Volume 99, Number 1, July 2012
|
|
---|---|---|
Article Number | 10004 | |
Number of page(s) | 5 | |
Section | General | |
DOI | https://doi.org/10.1209/0295-5075/99/10004 | |
Published online | 11 July 2012 |
Interspike-interval correlations induced by two-state switching in an excitable system
1 Bernstein Center for Computational Neuroscience and Institut für Physik, Humboldt Universität zu Berlin Philippstr. 13, 10115 Berlin, Germany, EU
2 Departament de Física i Eng. Nuclear, Universitat Politècnica de Catalunya - Edif. GAIA, Rambla de Sant Nebridi s/n, 08222 Terrassa, Barcelona, Spain, EU
Received: 22 March 2012
Accepted: 14 June 2012
We study correlations of intervals between pulses in an excitable system, using a semiconductor laser with optical feedback as an experimental model system. First we show, by means of a combination of experimental observations and theoretical analysis, that for an intermediate range of the laser's pump current the interspike intervals are positively correlated over a few lags, an effect that can be theoretically explained by an intrinsic two-state switching in the laser dynamics. The same theory can be also applied if the laser is externally driven by a dichotomous switching of the pump current, a scenario that allows for a controlled change of the spike rates of the two states over orders of magnitude. Varying one of the pump levels, we find experimentally that the correlation between adjacent intervals is maximized at a finite pump level corresponding to an optimal ratio of dropout rates in the two states. Our theory confirms these findings and reveals how the regularity of spiking in the two states shapes the correlation maximum.
PACS: 05.45.-a – Nonlinear dynamics and chaos / 05.10.Gg – Stochastic analysis methods (Fokker-Planck, Langevin, etc.) / 42.60.Mi – Dynamical laser instabilities; noisy laser behavior
© EPLA, 2012
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.