A review of the methods for neuronal response latency estimation

BioSystems

Volumn 136, Issue , 2015, Pages 23-34

  Levakova, Marie ^a   Tamborrino, Massimiliano ^b   Ditlevsen, Susanne ^c   Lansky, Petr ^a  

^a INSTITUTE OF PHYSIOLOGY   (Czech Republic)

^b JOHANNES KEPLER UNIVERSITY LINZ   (Austria)

^c UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Bayesian analysis; Change point analysis; Evoked activity; Extracellular recordings in neurons; Maximum likelihood estimation; Spike trains

Indexed keywords

BAYESIAN ANALYSIS; BRAIN; MAXIMUM LIKELIHOOD ANALYSIS; NEUROLOGY; SOFTWARE;

BAYES THEOREM; BAYESIAN BINNING; BOOTSTRAPPING; DOUBLE SLIDING WINDOW TECHNIQUE; EVOKED RESPONSE; EXCITATORY POSTSYNAPTIC POTENTIAL; FIRING RATE; HALF HEIGHT METHOD; HUMAN; INHIBITORY POSTSYNAPTIC POTENTIAL; KERNEL METHOD; LATENT PERIOD; MAXIMUM LIKELIHOOD METHOD; NERVE CELL; NERVE CELL STIMULATION; NONHUMAN; NONPARAMETRIC TEST; POISSON DISTRIBUTION; PROBABILITY; RATE CHANGE METHOD; REGRESSION ANALYSIS; REVIEW; SPIKE WAVE; STATISTICAL ANALYSIS; STATISTICAL PARAMETERS; STATISTICAL SIGNIFICANCE; ACTION POTENTIAL; ALGORITHM; ANIMAL; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER SIMULATION; NERVE CELL NETWORK; PHYSIOLOGY; REACTION TIME; STATISTICAL MODEL;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; COMPUTER SIMULATION; EVOKED POTENTIALS; HUMANS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE NET; NEURONS; REACTION TIME;

EID: 84948383536     PISSN: 03032647     EISSN: 18728324     Source Type: Journal    
DOI: 10.1016/j.biosystems.2015.04.008     Document Type: Review

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