GW6 - Grand-average ERP algorithm

GW6 algorithm for multichannel EEG data

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This is the Matlab implementation of the algorithm presented in W. Giroldini, L. Pederzoli, M. Bilucaglia et al., A new method to detect event-related potentials based on Pearson’s correlation, EURASIP Journal of Bioinformatics and System Biology, 2016:11.
In this paper, a new method called GW6 is proposed, which calculates the ERP using a mathematical method based only on Pearson’s correlation. The result is a graph with the same time resolution as the classical ERP and which shows only positive peaks representing the increase—in consonance with the stimuli—in EEG signal correlation over all channels.

Cite As

marco.bilucaglia (2026). GW6 - Grand-average ERP algorithm (https://in.mathworks.com/matlabcentral/fileexchange/63973-gw6-grand-average-erp-algorithm), MATLAB Central File Exchange. Retrieved .

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.0.0.0