Estimating action potential thresholds from neuronal time-series: New metrics and evaluation of methodologies

IEEE Transactions on Biomedical Engineering

Volumn 51, Issue 9, 2004, Pages 1665-1672

  Sekerli, Murat ^a   Del Negro, Christopher A ^b,c   Lee, Robert H ^d   Butera, Robert J ^e  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c Dept of Economics and Thomas Jefferson Program in Public Policy at the College of William and Mary   (United States)

^d EMORY UNIVERSITY   (United States)

^e GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Action potential threshold; Neuron; Time series analysis

Indexed keywords

NEURAL NETWORKS; NEUROLOGY; PARAMETER ESTIMATION;

NEURAL TIME SERIES; THRESHOLD ACTIVITY;

BIOMEDICAL ENGINEERING;

ACTION POTENTIAL; ANIMAL TISSUE; ARTICLE; CONTROLLED STUDY; ELECTROPHYSIOLOGY; EVALUATION; METHODOLOGY; MOTONEURON; NERVE POTENTIAL; NONHUMAN; PERFORMANCE; SNAIL; STATISTICAL ANALYSIS; TIME;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; ANIMALS, NEWBORN; BRAIN STEM; CATS; CELLS, CULTURED; COMPUTER SIMULATION; DIAGNOSIS, COMPUTER-ASSISTED; DIFFERENTIAL THRESHOLD; ELECTRIC STIMULATION; HELIX (SNAILS); HUMANS; MICE; MICE, INBRED C57BL; MODELS, NEUROLOGICAL; MOTOR NEURONS; NEURONS; SPECIES SPECIFICITY; TIME FACTORS;

EID: 4143079087     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2004.827531     Document Type: Article

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