Multi-Algorithm Artifact Correction (MAAC) procedure part one: Algorithm and example.

The Multi-Algorithm Artifact Correction (MAAC) procedure is presented for electroencephalographic (EEG) data, as made freely available in the open-source EP Toolkit (Dien, 2010). First the major EEG artifact correction methods (regression, spatial filters, principal components analysis, and independent components analysis) are reviewed. Contrary to the dominant approach of picking one method that is thought to be most effective, this review concludes that none are globally superior, but rather each has strengths and weaknesses.

Editorial: Generative artificial intelligence as a plagiarism problem.

There is increasing concern and consternation about generative artificial intelligence (AI) programs and its potential impact on academia. This editorial addresses the potential impact of such programs on scientific publishing as it relates to the journal Biological Psychology. Using chatGPT as an example, it makes the case that a prime concern is its implications for facilitating plagiarism.