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.
Friedman
H S
HS
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
Priebe
C E
CE
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*