title: A Two-Way Street between Attention and Learning.
abstract: In an elegant model-based fMRI study, Leong et al. (2017) demonstrate how attention and learning interact to facilitate value-based decision-making. They combine computational modeling with empirical measures of attentional selection derived from eye-tracking data and multivariate pattern analyses.
authors.affiliation: Institute for Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany.
authors.forename: Tessa
authors.initials: T
authors.lastname: Rusch
authors.affiliation: Institute for Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany.
authors.forename: Christoph W
authors.initials: CW
authors.lastname: Korn
authors.affiliation: Institute for Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany. Electronic address: glaescher@uke.de.
authors.forename: Jan
authors.initials: J
authors.lastname: Gläscher
mesh_terms: D001288:Attention; D003657:Decision Making; D006801:Humans; D007858:Learning; D008279:Magnetic Resonance Imaging