title: Correlation and synchrony transfer in integrate-and-fire neurons: basic properties and consequences for coding.
abstract: We study how pairs of neurons transfer correlated input currents into correlated spikes. Over rapid time scales, correlation transfer increases with both spike time variability and rate; the dependence on variability disappears at large time scales. This persists for a nonlinear membrane model and for heterogeneous cell pairs, but strong nonmonotonicities follow from refractory effects. We present consequences for population coding and for the encoding of time-varying stimuli.
authors: Courant Institute of Mathematical Sciences, New York University, New York, New York 10012, USA.
authors: Eric
authors: E
authors: Shea-Brown
authors: Kresimir
authors: K
authors: Josić
authors: Jaime
authors: J
authors: de la Rocha
authors: Brent
authors: B
authors: Doiron
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000818:Animals; D002540:Cerebral Cortex / Q000166:cytology / Q000502:physiology; D003344:Cortical Synchronization; D051379:Mice; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*