2022
DOI: 10.1101/2022.08.02.502520
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Bayesian models for event-related potentials time-series and electrode correlations estimation

Abstract: Recent developments on Bayesian inference and prediction for effects on event-related potentials (ERPs) stem from a wide variety of methods, including machine learning, multilevel models, and others. However, few of these approaches make use of clear estimates of the ERP voltage across time and across space (scalp). In the present article, via an iterative process, we propose Gaussian random walk (GRW) models that can estimate voltage uncertainty across time and also provide correlation matrices across electro… Show more

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