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Embedded Temporal Patterns in the Feedback Signal Differentially Predict VTA Neurofeedback-Mediated Learning to Self-Regulate Motivation

Conferences
Hakimi, S; MacInnes, JJ; Dickerson, KC; McDonald, K; Adcock, RA
Published in: NEUROPSYCHOPHARMACOLOGY
December 2020

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Published In

NEUROPSYCHOPHARMACOLOGY

EISSN

1740-634X

ISSN

0893-133X

Publication Date

December 2020

Volume

45

Issue

SUPPL 1

Start / End Page

378 / 379

Related Subject Headings

  • Psychiatry
  • 5202 Biological psychology
  • 3209 Neurosciences
 

Citation

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MLA
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Hakimi, S., MacInnes, J. J., Dickerson, K. C., McDonald, K., & Adcock, R. A. (2020). Embedded Temporal Patterns in the Feedback Signal Differentially Predict VTA Neurofeedback-Mediated Learning to Self-Regulate Motivation. In NEUROPSYCHOPHARMACOLOGY (Vol. 45, pp. 378–379).
Hakimi, Shabnam, Jeffrey J. MacInnes, Kathryn C. Dickerson, Kelsey McDonald, and R Alison Adcock. “Embedded Temporal Patterns in the Feedback Signal Differentially Predict VTA Neurofeedback-Mediated Learning to Self-Regulate Motivation.” In NEUROPSYCHOPHARMACOLOGY, 45:378–79, 2020.
Hakimi S, MacInnes JJ, Dickerson KC, McDonald K, Adcock RA. Embedded Temporal Patterns in the Feedback Signal Differentially Predict VTA Neurofeedback-Mediated Learning to Self-Regulate Motivation. In: NEUROPSYCHOPHARMACOLOGY. 2020. p. 378–9.
Hakimi, Shabnam, et al. “Embedded Temporal Patterns in the Feedback Signal Differentially Predict VTA Neurofeedback-Mediated Learning to Self-Regulate Motivation.” NEUROPSYCHOPHARMACOLOGY, vol. 45, no. SUPPL 1, 2020, pp. 378–79.
Hakimi S, MacInnes JJ, Dickerson KC, McDonald K, Adcock RA. Embedded Temporal Patterns in the Feedback Signal Differentially Predict VTA Neurofeedback-Mediated Learning to Self-Regulate Motivation. NEUROPSYCHOPHARMACOLOGY. 2020. p. 378–379.

Published In

NEUROPSYCHOPHARMACOLOGY

EISSN

1740-634X

ISSN

0893-133X

Publication Date

December 2020

Volume

45

Issue

SUPPL 1

Start / End Page

378 / 379

Related Subject Headings

  • Psychiatry
  • 5202 Biological psychology
  • 3209 Neurosciences