A review of the methods for neuronal response latency estimation.
Neuronal response latency is usually vaguely defined as the delay between the stimulus onset and the beginning of the response. It contains important information for the understanding of the temporal code. For this reason, the detection of the response latency has been extensively studied in the last twenty years, yielding different estimation methods. They can be divided into two classes, one of them including methods based on detecting an intensity change in the firing rate profile after the stimulus onset and the other containing methods based on detection of spikes evoked by the stimulation using interspike intervals and spike times. The aim of this paper is to present a review of the main techniques proposed in both classes, highlighting their advantages and shortcomings.
Institute of Physiology, The Czech Academy of Sciences, Videnska 1083, 14220 Prague 4, Czech Republic. Electronic address: marie.levakova@fgu.cas.cz.
Marie
M
Levakova
Institute for Stochastics, Johannes Kepler University Linz, Altenbergerstraße 69, 4040 Linz, Austria. Electronic address: massimiliano.tamborrino@jku.at.
Massimiliano
M
Tamborrino
Department of Mathematical Sciences, University of Copenhagen, Universitetsparken 5, 2100 Copenhagen, Denmark. Electronic address: susanne@math.ku.dk.
Susanne
S
Ditlevsen
Institute of Physiology, The Czech Academy of Sciences, Videnska 1083, 14220 Prague 4, Czech Republic. Electronic address: lansky@biomed.cas.cz.
Petr
P
Lansky
D000200:Action Potentials / Q000502:physiology*; D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D005071:Evoked Potentials / Q000502:physiology*; D006801:Humans; D008959:Models, Neurological; D015233:Models, Statistical; D009415:Nerve Net / Q000502:physiology; D009474:Neurons / Q000502:physiology*; D011930:Reaction Time / Q000502:physiology*
Bayesian analysis; Change point analysis; Evoked activity; Extracellular recordings in neurons; Maximum likelihood estimation; Spike trains