title: Automatic wave form classification of extracellular multineuron recordings.
abstract: A PC-based method for the reconstruction of individual spike trains from extracellular multineuron recordings is described. Starting with virtually no knowledge about the wave forms in a record, a fully automatic template-finding algorithm extracts templates using the entire data set. In a second step, individual spike trains are reconstructed.
authors.affiliation: Department of Biology, Vrije Universiteit, Amsterdam, The Netherlands.
authors.forename: R F
authors.initials: RF
authors.lastname: Jansen
authors.forename: A
authors.initials: A
authors.lastname: Ter Maat
mesh_terms: D000465:Algorithms; D004560:Electricity; D001330:Electronic Data Processing; D004594:Electrophysiology; D005110:Extracellular Space / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D013698:Templates, Genetic