title: Local classifiers for evoked potentials recorded from behaving rats.
abstract: Dynamic states of the brain determine the way information is processed in local neural networks. We have applied classical conditioning paradigm in order to study whether habituated and aroused states can be differentiated in single barrel column of rat's somatosensory cortex by means of analysis of field potentials evoked by stimulation of a single vibrissa. A new method using local classifiers is presented which allows for reliable and meaningful classification of single evoked potentials which might be consequently attributed to different functional states of the cortical column.
authors.affiliation: Faculty of Mathematics and Information Science, Warsaw University of Technology, Poland.
authors.forename: Wit
authors.initials: W
authors.lastname: Jakuczun
authors.forename: Ewa
authors.initials: E
authors.lastname: Kublik
authors.forename: Daniel K
authors.initials: DK
authors.lastname: Wójcik
authors.forename: Andrzej
authors.initials: A
authors.lastname: Wróbel
mesh_terms: D000465:Algorithms; D000818:Animals; D001522:Behavior, Animal / Q000145:classification* / Q000502:physiology*; D004594:Electrophysiology / Q000145:classification; D005071:Evoked Potentials / Q000502:physiology*; D051381:Rats