EF, O., JA, L., & JS, S. (2017). Self-regulation strategy, feedback timing and hemodynamic properties modulate learning in a simulated fMRI neurofeedback environment. PLoS computational biology, 13(7), e1005681. https://doi.org/10.1371/journal.pcbi.1005681
Chicago Style (17th ed.) CitationEF, Oblak, Lewis-Peacock JA, and Sulzer JS. "Self-regulation Strategy, Feedback Timing and Hemodynamic Properties Modulate Learning in a Simulated FMRI Neurofeedback Environment." PLoS Computational Biology 13, no. 7 (2017): e1005681. https://doi.org/10.1371/journal.pcbi.1005681.
MLA (9th ed.) CitationEF, Oblak, et al. "Self-regulation Strategy, Feedback Timing and Hemodynamic Properties Modulate Learning in a Simulated FMRI Neurofeedback Environment." PLoS Computational Biology, vol. 13, no. 7, 2017, p. e1005681, https://doi.org/10.1371/journal.pcbi.1005681.