Signatures of synchrony in pairwise count correlations

Frontiers in Computational Neuroscience

Volumn 4, Issue , 2010, Pages

  Tchumatchenko, Tatjana ^a,b,c   Geisel, Theo ^a,b   Volgushev, Maxim ^d,e,f   Wolf, Fred ^a,b  

^a MAX PLANCK INSTITUTE FOR DYNAMICS AND SELF ORGANIZATION   (Germany)

^b BERNSTEIN CENTER FOR COMPUTATIONAL NEUROSCIENCE   (Germany)

^c UNIVERSITY OF GÖTTINGEN   (Germany)

^d INSTITUTE OF HIGHER NERVOUS ACTIVITY AND NEUROPHYSIOLOGY   (Russian Federation)

^e RUHR UNIVERSITY BOCHUM   (Germany)

^f UNIVERSITY OF CONNECTICUT   (United States)

Author keywords

Correlation coefficient; Count correlations; Population models; Spike correlations; Synchrony

Indexed keywords

CORRELATION COEFFICIENT; COUNT CORRELATIONS; POPULATION MODEL; SPIKE CORRELATIONS; SYNCHRONY;

NEURONS; MATHEMATICAL MODELS;

MATHEMATICAL MODELS; NEURONS;

ARTICLE; BRAIN CELL; CELL POPULATION; CORRELATION COEFFICIENT; ELECTRIC POTENTIAL; KERNEL METHOD; MATHEMATICAL COMPUTING; NERVE CELL MEMBRANE POTENTIAL; NEUROSCIENCE; POPULATION MODEL; POTENTIAL DIFFERENCE; SPIKE WAVE; STOCHASTIC MODEL;

EID: 80055089915     PISSN: 16625188     EISSN: None     Source Type: Journal    
DOI: 10.3389/neuro.10.001.2010     Document Type: Article

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