title: Peri-event cross-correlation over time for analysis of interactions in neuronal firing.
abstract: Several methods have been described in the literature to verify the presence of couplings between neurons in the brain. In this paper we introduce the peri-event cross-correlation over time (PECCOT) to describe the interaction among the two neurons as a function of the event onset. Instead of averaging over time, the PECCOT averages the cross-correlation over instances of the event. As a consequence, the PECCOT is able to characterize with high temporal resolution the interactions over time among neurons. To illustrate the method, the PECCOT is applied to a simulated dataset and for analysis of synchrony in recordings of a rat performing a go/no go behavioral lever press task. We verify the presence of synchrony before the lever press time and its suppression afterwards.
authors.affiliation: Computational NeuroEngineering Laboratory, Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611, USA. arpaiva@cnel.ufl.edu
authors.forename: António R C
authors.initials: AR
authors.lastname: Paiva
authors.forename: Il
authors.initials: I
authors.lastname: Park
authors.forename: Justin C
authors.initials: JC
authors.lastname: Sanchez
authors.forename: José C
authors.initials: JC
authors.lastname: Príncipe
mesh_terms: D000200:Action Potentials; D000465:Algorithms; D000818:Animals; D001698:Biomedical Engineering; D055724:Electrophysiological Phenomena; D008297:Male; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D051381:Rats; D017207:Rats, Sprague-Dawley