Dynamics of the instantaneous firing rate in response to changes in input statistics

Journal of Computational Neuroscience

Volumn 18, Issue 3, 2005, Pages 311-321

  Fourcaud Trocmé, Nicolas ^a   Brunel, Nicolas ^b  

^a UNIVERSITY OF PITTSBURGH   (United States)

^b CNRS   (France)

Author keywords

Dynamical response; Integrate and fire neuron; Noise; Spiking mechanism

Indexed keywords

NEURONS; TRANSIENT ANALYSIS;

DYNAMICAL RESPONSE; EXPONENTIAL INTEGRATE-AND-FIRE; FIRING RATES; FREQUENCY LIMITS; INTEGRATE-AND-FIRE MODEL; INTEGRATE-AND-FIRE NEURONS; NOISE; SPIKING MECHANISM; SPIKING NEURONES; STEP CHANGES;

DYNAMICS;

AMPLITUDE MODULATION; CONTROLLED STUDY; FREQUENCY ANALYSIS; INTERMETHOD COMPARISON; LINEAR SYSTEM; MATHEMATICAL COMPUTING; NERVE CELL MEMBRANE CONDUCTANCE; NERVE CELL MEMBRANE STEADY POTENTIAL; NONLINEAR SYSTEM; NORMAL DISTRIBUTION; OSCILLATION; PRIORITY JOURNAL; PROBABILITY; RESPONSE TIME; REVIEW; SIGNAL NOISE RATIO; SIMULATION; SODIUM CURRENT; SPIKE WAVE; SYNAPTIC TRANSMISSION;

EID: 18144386904     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10827-005-0337-8     Document Type: Review

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