Extracting non-linear integrate-and-fire models from experimental data using dynamic I-V curves

Biological Cybernetics

Volumn 99, Issue 4-5, 2008, Pages 361-370

  Badel, Laurent ^a   Lefort, Sandrine ^a   Berger, Thomas K ^a   Petersen, Carl C H ^a   Gerstner, Wulfram ^a   Richardson, Magnus J E ^b  

^a EPFL   (Switzerland)

^b UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

Exponential integrate and fire; I V curve; Refractoriness

Indexed keywords

BIOELECTRIC POTENTIALS; EXPERIMENTS; FIRES; NEURAL NETWORKS; NEURONS;

ACCURATE PREDICTIONS; CORTICAL LAYERS; CORTICAL NEURONS; CURRENT-VOLTAGE RELATIONS; EXPERIMENTAL DATUMS; EXPONENTIAL INTEGRATE-AND-FIRE; I-V CURVE; IN-VIVO; INTEGRATE AND FIRES; NEURON MODELS; PYRAMIDAL CELLS; REDUCED MODELS; REFRACTORINESS; RESPONSE PROPERTIES; SYNAPTIC DRIVES; TRACTABLE MODELS; TRANSMEMBRANE CURRENTS; V CURVE METHODS; V CURVES;

MILITARY OPERATIONS;

ACTION POTENTIAL; ANIMAL; ARTICLE; BIOLOGICAL MODEL; BRAIN; NERVE CELL; PHYSIOLOGY; RAT;

ACTION POTENTIALS; ANIMALS; BRAIN; MODELS, NEUROLOGICAL; NEURONS; RATS;

EID: 56449129046     PISSN: 03401200     EISSN: 14320770     Source Type: Journal    
DOI: 10.1007/s00422-008-0259-4     Document Type: Article

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