Smoothing of, and parameter estimation from, noisy biophysical recordings

PLoS Computational Biology

Volumn 5, Issue 5, 2009, Pages

  Huys, Quentin J M ^a,b   Paninski, Liam ^b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b Och Spine at New York Presbyterian Hospitals   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOPHYSICS; MONTE CARLO METHODS;

BIOPHYSICALLY DETAILED MODEL; CELL-BE; CELL/B.E; CELL/BE; MODEL-BASED OPC; MODELING TASK; PARAMETERS ESTIMATION; SIMULTANEOUS ACCESS; SINGLE CELLS; SMOOTHING PARAMETER;

PARAMETER ESTIMATION;

ARTICLE; ELECTRIC POTENTIAL; MATHEMATICAL ANALYSIS; MONTE CARLO METHOD; NOISE; PARTICLE SIZE; ALGORITHM; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MODEL; BIOLOGY; BIOPHYSICS; CELL FUNCTION; COMPUTER SIMULATION; ELECTROPHYSIOLOGY; IMAGE PROCESSING; METHODOLOGY; NONPARAMETRIC TEST;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOPHYSICAL PROCESSES; CELL PHYSIOLOGICAL PHENOMENA; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; ELECTROPHYSIOLOGICAL PHENOMENA; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, BIOLOGICAL; MONTE CARLO METHOD; STATISTICS, NONPARAMETRIC;

EID: 67049095670     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000379     Document Type: Article

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