A Two-Way Street between Attention and Learning

Tessa Rusch; Christoph W Korn; Jan Gläscher

doi:10.1016/j.neuron.2017.01.005

A Two-Way Street between Attention and Learning

Neuron. 2017 Jan 18;93(2):256-258. doi: 10.1016/j.neuron.2017.01.005.

Authors

Tessa Rusch¹, Christoph W Korn¹, Jan Gläscher²

Affiliations

¹ Institute for Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany.
² Institute for Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany. Electronic address: glaescher@uke.de.

PMID: 28103475
DOI: 10.1016/j.neuron.2017.01.005

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.

MeSH terms

Attention*
Decision Making
Humans
Learning*
Magnetic Resonance Imaging