Estimating stimulus response latency.
Stimulus response latency is the delay in the onset of stimulus-evoked neuronal activity. We develop maximum likelihood and least squares estimators of stimulus response latency and present a comparison of the performance of these methods with estimators commonly used in the neuroscience literature. The formal statistical change-point estimation problem is nontrivial due to the inclusion of a 'nuisance parameter', the end of stationarity in the stimulus-evoked activity. Our results suggest that the automation of the estimation of stimulus response latency will benefit from the use of the maximum likelihood estimator.
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
H S
HS
Friedman
C E
CE
Priebe
D000200:Action Potentials / Q000502:physiology; D003198:Computer Simulation; D004594:Electrophysiology / Q000379:methods*; D016018:Least-Squares Analysis; D016013:Likelihood Functions; D008959:Models, Neurological; D009010:Monte Carlo Method; D009474:Neurons / Q000502:physiology*; D016012:Poisson Distribution; D011930:Reaction Time / Q000502:physiology*