Spline-based non-parametric regression for periodic functions and its applications to directional tuning of neurons

Statistics in Medicine

Volumn 24, Issue 14, 2005, Pages 2255-2265

  Kaufman, Cari G ^a   Ventura, Valérie ^a   Kass, Robert E ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Bayesian adaptive regression splines; Neuronal data; Non parametric regression; Periodic functions; Smoothing splines

Indexed keywords

ANIMAL BEHAVIOR; ARM MOVEMENT; ARTICLE; BAYES THEOREM; CELL ACTIVITY; CONTROLLED STUDY; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MONKEY; MOTOR CORTEX; NERVE CELL; NERVE CELL STIMULATION; NONHUMAN; NONPARAMETRIC TEST; PARAMETRIC TEST; POISSON DISTRIBUTION; QUANTITATIVE ANALYSIS; REGRESSION ANALYSIS; STIMULUS RESPONSE; TASK PERFORMANCE;

ACTION POTENTIALS; ANIMALS; COMPUTER SIMULATION; MACACA MULATTA; MODELS, NEUROLOGICAL; MOVEMENT; NEURONS; REGRESSION ANALYSIS;

EID: 21844444549     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.2104     Document Type: Article

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