Self-regulation strategy, feedback timing and hemodynamic properties modulate learning in a simulated fMRI neurofeedback environment.

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Bibliographic Details
Title: Self-regulation strategy, feedback timing and hemodynamic properties modulate learning in a simulated fMRI neurofeedback environment.
Authors: Oblak EF; Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas, USA., Lewis-Peacock JA; Department of Psychology, The University of Texas at Austin, Austin, Texas, USA.; Institute for Neuroscience, The University of Texas at Austin, Austin, Texas, USA., Sulzer JS; Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas, USA.
Source: PLoS computational biology [PLoS Comput Biol] 2017 Jul 28; Vol. 13 (7), pp. e1005681. Date of Electronic Publication: 2017 Jul 28 (Print Publication: 2017).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1553-7358
DOI:10.1371/journal.pcbi.1005681