Accurate and fast simulation of channel noise in conductance-based model neurons by diffusion approximation

PLoS Computational Biology

Volumn 7, Issue 3, 2011, Pages

  Linaro, Daniele ^a   Storace, Marco ^a   Giugliano, Michele ^b,c,d  

^a UNIVERSITY OF GENOA   (Italy)

^b UNIVERSITY OF ANTWERP   (Belgium)

^c EPFL   (Switzerland)

^d UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CALCULATIONS; DIFFERENTIAL EQUATIONS; IONS; MARKOV PROCESSES; NEURONS; NUMERICAL METHODS; SPURIOUS SIGNAL NOISE; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

CHANNEL GATING; CHANNEL NOISE; CONDUCTANCE BASED MODELING; DIFFUSION APPROXIMATIONS; FAST SIMULATION; MARKOV MODELING; MICROSCOPIC SIMULATION; NETWORK LEVEL; NEURONAL NOISE; STOCHASTICS;

LIGANDS;

ION CHANNEL;

ACCURACY; ARTICLE; CHANNEL GATING; COMPUTER SIMULATION; CONTROLLED STUDY; ELECTRIC POTENTIAL; EVOKED RESPONSE; HIDDEN MARKOV MODEL; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MONTE CARLO METHOD; NERVE CELL MEMBRANE CONDUCTANCE; NEUROMODULATION; NOISE; POTASSIUM CURRENT; REPRODUCIBILITY; SODIUM CURRENT; STOCHASTIC MODEL; BIOLOGICAL MODEL; CELL MEMBRANE POTENTIAL; METABOLISM; NERVE CELL; PHYSIOLOGY; PROBABILITY;

COMPUTER SIMULATION; ION CHANNEL GATING; ION CHANNELS; MARKOV CHAINS; MEMBRANE POTENTIALS; MODELS, NEUROLOGICAL; NEURONS;

EID: 79953661638     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1001102     Document Type: Article

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