title: Unsupervised waveform classification for multi-neuron recordings: a real-time, software-based system. II. Performance comparison to other sorters.
abstract: The companion paper has described a new, fully automatic device for the sorting of action potential waveforms in real time. We present here a brief comparison of performance between this new device and several of the older, more traditional devices used for this purpose. We include in the comparison the performance of 3 human observers.
authors.affiliation: Department of Physiology, University of Pennsylvania, Philadelphia 19104.
authors.forename: M F
authors.initials: MF
authors.lastname: Sarna
authors.forename: P
authors.initials: P
authors.lastname: Gochin
authors.forename: J
authors.initials: J
authors.lastname: Kaltenbach
authors.forename: M
authors.initials: M
authors.lastname: Salganicoff
authors.forename: G L
authors.initials: GL
authors.lastname: Gerstein
mesh_terms: D000465:Algorithms; D000818:Animals; D004594:Electrophysiology / Q000379:methods; D009474:Neurons / Q000502:physiology*; D012107:Research Design; D012984:Software