title: Multi-unit spike discrimination using wavelet transforms.
abstract: A new spike discrimination procedure addressing the specific problem of spike superposition is described. The method, based on a shift-invariant wavelet transform and its amplitude-and-phase representation, has the advantage of both reducing the effect of noise present in the data and correcting the latency of specific components in a waveform. When spikes overlap and produce unknown patterns, the procedure extracts the constituent spikes and also estimates their exact time of occurrence. Fast implementation algorithms, having complexity of at most O (N log N), allow the use of the method in real-time applications.
authors.affiliation: Department of Neurosurgery, University of Texas-Houston Medical School 77030, USA.
authors.forename: G
authors.initials: G
authors.lastname: Zouridakis
authors.forename: D C
authors.initials: DC
authors.lastname: Tam
mesh_terms: D000200:Action Potentials; D000465:Algorithms; D000818:Animals; D003400:Astacoidea; D004569:Electroencephalography / Q000379:methods; D004594:Electrophysiology / Q000379:methods*; D008954:Models, Biological; D009474:Neurons / Q000502:physiology*