Modeling multiple time scale firing rate adaptation in a neural network of local field potentials

Journal of Computational Neuroscience

Volumn 38, Issue 1, 2015, Pages 189-202

  Lundstrom, Brian Nils ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Local field potentials; Multiple time scale; Neural networks; Rate adaptation; Slow oscillations

Indexed keywords

DYNAMICS; NEURONS; TIME MEASUREMENT;

FIRING RATE ADAPTATIONS; FIRING RATES; LOCAL FIELD POTENTIALS; MULTIPLE TIME SCALE; NEURAL-NETWORKS; POWER-LAW; RATE-ADAPTATION; SCALE-INVARIANT; SLOW OSCILLATIONS; TIME-SCALES;

NEURAL NETWORKS;

ARTICLE; CONDUCTANCE; FIRING RATE ADAPTATION; LOCAL FIELD POTENTIAL; MATHEMATICAL ANALYSIS; MULTIPLE TIME SCALE; NERVE CELL; NERVE CELL MEMBRANE POTENTIAL; NERVE CELL NETWORK; NERVOUS SYSTEM PARAMETERS; OSCILLATION; POSTSYNAPTIC MEMBRANE; PRIORITY JOURNAL; PYRAMIDAL NERVE CELL; SPIKE WAVE; ACTION POTENTIAL; ADAPTATION; ANIMAL; BIOLOGICAL MODEL; ELECTROSTIMULATION; EVOKED RESPONSE; HUMAN; NONLINEAR SYSTEM; PHYSIOLOGY; TIME;

ACTION POTENTIALS; ADAPTATION, PHYSIOLOGICAL; ANIMALS; ELECTRIC STIMULATION; EVOKED POTENTIALS; HUMANS; MODELS, NEUROLOGICAL; NERVE NET; NEURONS; NONLINEAR DYNAMICS; TIME FACTORS;

EID: 84922080355     PISSN: 09295313     EISSN: 15736873     Source Type: Journal    
DOI: 10.1007/s10827-014-0536-2     Document Type: Article

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