title: Correlations and synchrony in threshold neuron models.
abstract: We study how threshold models and neocortical neurons transfer temporal and interneuronal input correlations to correlations of spikes. In both, we find that the low common input regime is governed by firing rate dependent spike correlations which are sensitive to the detailed structure of input correlation functions. In the high common input regime, the spike correlations are largely insensitive to the firing rate and exhibit a universal peak shape. We further show that pairs with different firing rates driven by common inputs in general exhibit asymmetric spike correlations.
authors.affiliation: Max Planck Institute for Dynamics and Self-Organization and Bernstein Center for Computational Neuroscience, Göttingen, Germany.
authors.forename: Tatjana
authors.initials: T
authors.lastname: Tchumatchenko
authors.forename: Aleksey
authors.initials: A
authors.lastname: Malyshev
authors.forename: Theo
authors.initials: T
authors.lastname: Geisel
authors.forename: Maxim
authors.initials: M
authors.lastname: Volgushev
authors.forename: Fred
authors.initials: F
authors.lastname: Wolf
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000818:Animals; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D051381:Rats