Extracting information from the power spectrum of synaptic noise

Journal of Computational Neuroscience

Volumn 17, Issue 3, 2004, Pages 327-345

  Destexhe, Alain ^a   Rudolph, Michael ^a  

^a CNRS   (France)

Author keywords

Cerebral cortex; Computational models; Power spectrum; Synaptic noise

Indexed keywords

DELTA FUNCTIONS; KINETIC PARAMETERS; KINETIC THEORY; POWER SPECTRAL DENSITY; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

'CURRENT; CEREBRAL CORTEX; COMPUTATIONAL MODELLING; CORTICAL NEURONS; EXTRACTING INFORMATION; INTRACELLULAR RECORDINGS; KINETIC MODELS; POWER-SPECTRA; STOCHASTIC-MODELING; SYNAPTIC NOISE;

POWER SPECTRUM;

ION CHANNEL;

AMPLITUDE MODULATION; ARTICLE; BRAIN CORTEX; BRAIN NERVE CELL; CALCULATION; CELL KINETICS; CONTROLLED STUDY; DENDRITE; FOURIER TRANSFORMATION; FREQUENCY ANALYSIS; IN VIVO STUDY; MATHEMATICAL ANALYSIS; NERVE CELL MEMBRANE POTENTIAL; NORMAL DISTRIBUTION; POWER SPECTRUM; PRIORITY JOURNAL; PROBABILITY; RECORDING; SIGNAL NOISE RATIO; STOCHASTIC MODEL; SYNAPTIC TRANSMISSION; VALIDATION PROCESS; VOLTAGE CLAMP;

EID: 5744237832     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:JCNS.0000044875.90630.88     Document Type: Article

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