Nonparametric modeling of neural point processes via stochastic gradient boosting regression

Neural Computation

Volumn 19, Issue 3, 2007, Pages 672-705

  Truccolo, Wilson ^a   Donoghue, John P ^a,b  

^a BROWN UNIVERSITY   (United States)

^b Cybernetics Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ANIMAL; ARTICLE; BAYES THEOREM; BIOLOGICAL MODEL; COMPARATIVE STUDY; CYTOLOGY; MONTE CARLO METHOD; NERVE CELL; NONPARAMETRIC TEST; PHYSIOLOGY; REGRESSION ANALYSIS; STATISTICS;

ACTION POTENTIALS; ANIMALS; BAYES THEOREM; MODELS, NEUROLOGICAL; MONTE CARLO METHOD; NEURONS; REGRESSION ANALYSIS; STATISTICS, NONPARAMETRIC; STOCHASTIC PROCESSES;

EID: 33847636281     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2007.19.3.672     Document Type: Article

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