Statistical properties of superimposed stationary spike trains

Journal of Computational Neuroscience

Volumn 32, Issue 3, 2012, Pages 443-463

  Deger, Moritz ^a   Helias, Moritz ^b   Boucsein, Clemens ^a   Rotter, Stefan ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

^b RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

Author keywords

Network simulation; Point process; Population activity; Serial interval correlations; Spike train simulation; Spike train variability

Indexed keywords

POISSON DISTRIBUTION; POPULATION STATISTICS;

NETWORK SIMULATION; POINT PROCESS; POISSON PROCESS; POPULATION ACTIVITIES; SERIAL INTERVAL CORRELATION; SPIKE TRAIN; SPIKE TRAIN SIMULATION; SPIKE TRAIN VARIABILITY; TRAIN SIMULATION;

NEURONS;

ALGORITHM; ANIMAL CELL; ARTICLE; BRAIN NERVE CELL; COUNT VARIABILITY; IN VIVO STUDY; INTERSPIKE INTERVAL CORRELATION; INTERSPIKE INTERVAL VARIABILITY; INTRACELLULAR RECORDING; NEOCORTEX; NERVE CELL; NERVE CELL CHARACTERISTICS AND FUNCTIONS; NERVE CELL NETWORK; NONHUMAN; POISSON DISTRIBUTION; POISSON PROCESS WITH DEAD TIME; PRIORITY JOURNAL; RAT; REFRACTORY PERIOD; SIMULATION; SPIKING NEURON; STATISTICAL ANALYSIS; STATISTICAL MODEL; SUPERIMPOSED STATIONARY SPIKE TRAIN;

EID: 84863859827     PISSN: 09295313     EISSN: 15736873     Source Type: Journal    
DOI: 10.1007/s10827-011-0362-8     Document Type: Article

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