Stochastic simulations on the reliability of action potential propagation in thin axons

PLoS Computational Biology

Volumn 3, Issue 5, 2007, Pages 0783-0795

  Faisal, A Aldo ^a   Laughlin, Simon B ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTROPHYSIOLOGY; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

ACTION POTENTIAL PROPAGATION; ACTION-POTENTIALS; CHANNEL NOISE; DETAILED MODELS; NA+ CHANNEL; PROBABILISTICS; SPIKE TRAIN; SQUID AXON; STOCHASTIC SIMULATIONS; VOLTAGE GATED ION CHANNELS;

RELIABILITY;

VOLTAGE GATED CALCIUM CHANNEL;

ARTICLE; BRAIN CORTEX; BRAIN NERVE CELL; INNERVATION; NERVE CELL NETWORK; NERVE CONDUCTION; NERVE FIBER MEMBRANE POTENTIAL; PROBABILITY; RANDOMIZATION; RELIABILITY; RODENT; SIMULATION; SPIKE; SQUID; STOCHASTIC MODEL; SYNAPTIC TRANSMISSION; TIME; ACTION POTENTIAL; ANIMAL; BIOLOGICAL MODEL; CEPHALOPOD; CHANNEL GATING; COMPUTER SIMULATION; MEMBRANE POTENTIAL; MOUSE; NERVE FIBER; PHYSIOLOGY; RAT; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICS; ULTRASTRUCTURE;

CEPHALOPODA; RODENTIA;

ACTION POTENTIALS; ANIMALS; AXONS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DECAPODIFORMES; ION CHANNEL GATING; MEMBRANE POTENTIALS; MICE; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NEURAL CONDUCTION; RATS; STOCHASTIC PROCESSES;

EID: 34249700682     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.0030079     Document Type: Article

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