title: Action potential detection with automatic template matching.
abstract: Detecting action potentials has an important role in analyzing extracellular neuronal recordings. Current algorithms require subjective tuning by a user in the form of user-specified parameters. This work describes a fully automatic template-matching spike detection algorithm that does not require any tuning. This algorithm is robust to noise and performs better than an optimum threshold detection algorithm.
authors.affiliation: Biomedical Signal Processing Laboratory, Electrical and Computer Engineering, Portland State University, OR, USA.
authors.forename: S
authors.initials: S
authors.lastname: Kim
authors.forename: J
authors.initials: J
authors.lastname: McNames
authors.forename: K
authors.initials: K
authors.lastname: Burchiel