Before revision:  Here, we deploy an unsupervised machine learning algorithm to define brainstates as time point level activity patterns from functional magnetic resonance imaging data acquired dur- ing passive visual fixation (rest) and an n-back working memory task.
After revision:  Here, we deploy an unsupervised machine learning algorithm to define brainstates as time point level activity patterns from functional magnetic resonance imaging data acquired during passive visual fixation (rest) and an n-back working memory task.