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Convolution Models for EEG/MEG Analysis by Vigor Malequin is a document available to read on EtoBox.
What is Convolution Models for EEG/MEG Analysis about?
This document discusses a new convolution model for analyzing induced electromagnetic responses in EEG and MEG data, addressing limitations of traditional post-hoc averaging methods. The proposed approach allows for the disambiguation of overlapping responses and the modeling of variable timing, enabling better statistical analysis of time-frequency data. The authors illustrate the utility of this method using simulated and real MEG data, demonstrating its advantages in handling confounds and parametric mod
- Author
- Vigor Malequin
- Language
- EN