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Regensburg 2002 – wissenschaftliches Programm

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SYPH: Physik im Hirn - Physical Approaches to Brain Function

SYPH 1: Physik im Hirn - Physical Approaches to Brain Function

SYPH 1.2: Vortrag

Mittwoch, 13. März 2002, 18:05–18:20, H2

A two rate state model reveals effects of non-stationarity on cross-correlation — •Sonja Gruen1, Alexa Riehle2, and Markus Diesmann31MPI for Brain Research, Frankfurt/Main, Germany — 2CRNC-CNRS, Marseille, France — 3MPI für Strömungsforschung, Göttingen, Germany

Common to most correlation analysis techniques [1] for neuronal spiking activity is the assumption of stationarity with respect to various parameters. However, experimental data may fail to be compatible with these assumptions which may lead to falsely assigned significant outcomes. Here we study the influence of a specific type of non-stationarity, non-stationarity of rates across trials. Using a two rate state model where rates are drawn independently for trials and neurons we can show in detail that non-stationarity across trials may induce co-variance of rates identified as the source for false positives. We show that this has specific implications for the ’shuffle predictor’ and might lead to wrong conclusions. Approaches to compensate for the influence of non-stationarity across trials by improving the predictor are presented.
[1] Eggermont J (1990) The Correlative Brain. Springer Verlag

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