Common to most correlation analysis techniques for neuronal spiking activity are assumptions of stationarity with respect to various parameters.

We show in detail that nonstationarity across trials induces apparent covariation of spike rates identified as the generator of false positives.

This failure can lead to falsely assigned significant outcomes. Here we study the effect of nonstationarity of spike rate across trials in a model-based�...

Author: Grun, S. et al.; Genre: Journal Article; Issued: 2003-05-08; Title: Effect of cross-trial nonstationarity on joint-spike events.

May 8, 2003 � Abstract. Common to most correlation analysis techniques for neuronal spiking activity are assumptions of stationarity with respect to�...

Sep 17, 2020 � Sonja Gr�n , Alexa Riehle, Markus Diesmann: Effect of cross-trial nonstationarity on joint-spike events. Biol. Cybern. 88(5): 335-351 (2003).

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However, for analysis approaches that involve higher statistical moments, neglecting effects of cross-trial nonstationarity may lead to false-positive results (�...

Oct 24, 2023 � Effect of cross-trial nonstationarity on joint-spike events. Gr�n, S.FZJ* ; Riehle, A.FZJ* ; Diesmann, M.FZJ* 2003. Springer Heidelberg.

Effect of cross-trial nonstationarity on joint-spike events. S. Gr�n; A. Riehle; M. Diesmann. Pages: 335 - 351. Analysis of higher-order neuronal interactions�...