Bayesian Modeling of Language-Evoked Event-Related Potentials. (arXiv:2207.03392v1 [q-bio.QM])

Bayesian hierarchical models are well-suited to analyzing the often noisy
data from electroencephalography experiments in cognitive neuroscience: these
models provide an intuitive framework to account for structures and
correlations in the data, and they allow a straightforward handling of
uncertainty. In a typical neurolinguistic experiment, event-related potentials
show only very small effect sizes and frequentist approaches to data analysis
fail to establish the significance of some of these effects. Here, we present a
Bayesian approach to analyzing event-related potentials using …

arxiv bayesian bayesian modeling bio event language modeling