Predicting spike timing of neocortical pyramidal neurons by simple threshold models

Journal of Computational Neuroscience

Volumn 21, Issue 1, 2006, Pages 35-49

  Jolivet, Renaud ^a   Rauch, Alexander ^b,c   Lüscher, Hans Rudolf ^b   Gerstner, Wulfram ^a  

^a EPFL   (Switzerland)

^b UNIVERSITY OF BERN   (Switzerland)

^c MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

Author keywords

Adapting threshold; Predicting spike timing; Spike response model; Spike timing reliability; Stochastic input

Indexed keywords

FORECASTING; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TIMING CIRCUITS;

ADAPTING THRESHOLD; PREDICTING SPIKE TIMING; PYRAMIDAL NEURON; SIMPLE++; SPIKE RESPONSE MODELS; SPIKE TIMING; SPIKE-TIMING RELIABILITY; STOCHASTIC INPUTS; THRESHOLD MODEL;

NEURONS;

ACCURACY; ANIMAL CELL; ANIMAL EXPERIMENT; ANIMAL TISSUE; ARTICLE; AUDITORY THRESHOLD; BRAIN FUNCTION; BRAIN NERVE CELL; CONTROLLED STUDY; FEMALE; IN VITRO STUDY; IN VIVO STUDY; MALE; NEOCORTEX; NONHUMAN; PERCEPTIVE THRESHOLD; PREDICTION; PRIORITY JOURNAL; RANDOMIZATION; RAT; RELIABILITY; SIMULATION; SOMATOSENSORY CORTEX; SPIKE WAVE; SYNAPSE;

EID: 33745833056     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10827-006-7074-5     Document Type: Article

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