Regensburg 2016 – wissenschaftliches Programm
Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe
BP: Fachverband Biologische Physik
BP 38: Neurosciences
BP 38.5: Vortrag
Mittwoch, 9. März 2016, 11:00–11:15, H45
Correlated activity of periodically driven binary networks — •Tobias Kühn1, Michael Denker1, Sonja Grün1,2, and Moritz Helias1,3 — 1Inst. of Neuroscience and Medicine (INM-6), Inst. for Advanced Simulation (IAS-6) and JARA BRAIN Inst. 1, Jülich Research Centre, Germany — 2Theoretical Systems Neurobiology — 3Dept. of Physics, both Faculty I, RWTH Aachen University, Germany
Experiments showed that excess synchronous spike events are locked to the phase of LFP beta-oscillations more strongly than spikes not part of such events [Denker et al. 2011, Cereb. Cortex]. To identify the mechanisms by which correlations depend on the phase of the LFP, which primarily reflects input activity, we examine a balanced network of homogeneously connected binary model neurons [Ginzburg et al. 1994, PRE] receiving input from a sinusoidal perturbation. The Glauber dynamics of the network is simulated and approximated by mean-field theory. Treating the periodic input in linear response theory, the cyclostationary first two moments are analytically computed. They agree with their simulated counterparts over a wide parameter range. The zero-time lag correlations consist of two terms, one due to the modulated susceptibility (via the external input and network feedback) and one due to the time-varying autocorrelations. For some parameters, this leads to resonant correlations and non-resonant mean activities. Our results can help to answer the salient question how oscillations in mesoscopic signals and spike correlations interact.
Supported by the Helmholtz foundation (VH-NG-1028, SMHB); EU Grant 604102 (HBP). Simulations with NEST (nest-simulator.org).