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Volumn 35, Issue 2, 2007, Pages 315-318
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Implementation issues in approximate methods for stochastic hodgkin-huxley models
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Author keywords
[No Author keywords available]
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Indexed keywords
ALGORITHMS;
APPROXIMATION THEORY;
MARKOV PROCESSES;
PHYSIOLOGICAL MODELS;
FINITE-STATE MARKOV PROCESS MODELS;
FOX ALGORITHM;
SPIKE JITTER;
STOCHASTIC CONTROL SYSTEMS;
SODIUM CHANNEL;
ACTION POTENTIAL;
ALGORITHM;
ANIMAL;
ARTIFACT;
BIOLOGICAL MODEL;
CELL MEMBRANE POTENTIAL;
COMPUTER SIMULATION;
ELECTROSTIMULATION;
MAMMAL;
NOTE;
PHYSIOLOGY;
PROBABILITY;
RANVIER NODE;
REPRODUCIBILITY;
SENSITIVITY AND SPECIFICITY;
STATISTICAL MODEL;
STATISTICS;
ACTION POTENTIALS;
ALGORITHMS;
ANIMALS;
ARTIFACTS;
COMPUTER SIMULATION;
ELECTRIC STIMULATION;
MAMMALS;
MARKOV CHAINS;
MEMBRANE POTENTIALS;
MODELS, NEUROLOGICAL;
MODELS, STATISTICAL;
RANVIER'S NODES;
REPRODUCIBILITY OF RESULTS;
SENSITIVITY AND SPECIFICITY;
SODIUM CHANNELS;
STOCHASTIC PROCESSES;
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EID: 33846267349
PISSN: 00906964
EISSN: 15739686
Source Type: Journal
DOI: 10.1007/s10439-006-9174-9 Document Type: Article |
Times cited : (31)
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References (9)
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