An analysis of the reliability phenomenon in the FitzHugh-Nagumo model

Journal of Computational Neuroscience

Volumn 14, Issue 1, 2003, Pages 5-22

  Kosmidis, Efstratios K ^a   Pakdaman, K ^a  

^a INSERM   (France)

Author keywords

Lyapunov exponent; Neuronal reliability; Random dynamics; Stochastic chaos

Indexed keywords

DIFFERENTIAL EQUATIONS; DYNAMICAL SYSTEMS; LYAPUNOV FUNCTIONS; LYAPUNOV METHODS; RELIABILITY ANALYSIS; STOCHASTIC SYSTEMS;

BISTABLES; FIRING TIME; FITZHUGH-NAGUMO MODEL; LYAPUNOV EXPONENT; NEURONAL RELIABILITY; RANDOM DYNAMICS; SINGLE NEURON; STIMULUS INTENSITY; STOCHASTIC CHAOS; THEORETICAL STUDY;

NEURONS;

ARTICLE; DYNAMICS; EQUILIBRIUM CONSTANT; EVOKED RESPONSE; EXPERIMENT; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NERVE CELL; NERVE EXCITABILITY; NERVE STIMULATION; NEUROSCIENCE; NORMAL DISTRIBUTION; OSCILLATION; PRIORITY JOURNAL; RANDOMIZATION; RELIABILITY; SOUND INTENSITY; STIMULUS; STOCHASTIC MODEL; THEORETICAL STUDY;

EID: 0037244834     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1021100816798     Document Type: Article

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