Dynamical estimation of neuron and network properties II: Path integral Monte Carlo methods

Biological Cybernetics

Volumn 106, Issue 3, 2012, Pages 155-167

  Kostuk, Mark ^a   Toth, Bryan A ^a   Meliza, C Daniel ^b   Margoliash, Daniel ^b   Abarbanel, Henry D I ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CHICAGO   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Data assimilation; Ion channel properties; Markov Chain Monte Carlo; Neuronal dynamics

Indexed keywords

ACCURATE PREDICTION; BIOLOGICAL PREPARATION; BIOLOGICAL PROPERTIES; BIOPHYSICAL PROPERTIES; CURRENT YIELDS; DATA ASSIMILATION; EXPECTED VALUES; INTRACELLULAR RECORDINGS; ION CHANNEL; MARKOV CHAIN MONTE CARLO; MEMBRANE VOLTAGE; MODEL DEVELOPMENT; MODEL PARAMETERS; MODEL SPECIFICATIONS; MODEL STATE; MONTE CARLO; NETWORK PROPERTIES; NEURONAL DYNAMICS; NEURONAL MODEL; NONLINEAR DIFFERENTIAL EQUATION; NUMERICAL APPROACHES; PATH INTEGRAL; PATH INTEGRAL MONTE CARLO METHODS; POSTERIOR UNCERTAINTIES; STATE VARIABLES; TEST DATA; TIME VARYING; UNKNOWN PARAMETERS;

COMPUTER SIMULATION; DIFFERENTIAL EQUATIONS; DYNAMICS; ELECTROPHYSIOLOGY; ERRORS; ESTIMATION; MONTE CARLO METHODS; NUMERICAL METHODS; PROBABILITY DISTRIBUTIONS; QUANTUM THEORY; UNCERTAINTY ANALYSIS;

PARAMETER ESTIMATION;

ARTICLE; MONTE CARLO METHOD; NERVE CELL; PHYSIOLOGY;

MONTE CARLO METHOD; NEURONS;

EID: 84862141747     PISSN: 03401200     EISSN: 14320770     Source Type: Journal    
DOI: 10.1007/s00422-012-0487-5     Document Type: Article

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