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Value and prediction error in medial frontal cortex: integrating the single-unit and systems levels of analysis

Massimo Silvetti UGent, Ruth Seurinck UGent and Tom Verguts UGent (2011) FRONTIERS IN HUMAN NEUROSCIENCE. 5.
abstract
The role of the anterior cingulate cortex (ACC) in cognition has been extensively investigated with several techniques, including single-unit recordings in rodents and monkeys and EEG and fMRI in humans. This has generated a rich set of data and points of view. Important theoretical functions proposed for ACC are value estimation, error detection, error-likelihood estimation, conflict monitoring, and estimation of reward volatility. A unified view is lacking at this time, however. Here we propose that online value estimation could be the key function underlying these diverse data. This is instantiated in the reward value and prediction model (RVPM). The model contains units coding for the value of cues (stimuli or actions) and units coding for the differences between such values and the actual reward (prediction errors). We exposed the model to typical experimental paradigms from single-unit, EEG, and fMRI research to compare its overall behavior with the data from these studies. The model reproduced the ACC behavior of previous single-unit, EEG, and fMRI studies on reward processing, error processing, conflict monitoring, error-likelihood estimation, and volatility estimation, unifying the interpretations of the role performed by the ACC in some aspects of cognition.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
error likelihood, volatility, conflict monitoring, reinforcement learning, reward, dopamine, ACC, REWARD, CONFLICT, STROOP TASK, BASAL GANGLIA, FUNCTIONAL MRI, PREFRONTAL CORTEX, NEURAL REPRESENTATION, ANTERIOR CINGULATE CORTEX, ORBITOFRONTAL CORTEX, DOPAMINE NEURONS
journal title
FRONTIERS IN HUMAN NEUROSCIENCE
Front. Hum. Neurosci.
volume
5
article_number
75
pages
15 pages
Web of Science type
Article
Web of Science id
000294474800002
JCR category
PSYCHOLOGY
JCR impact factor
2.339 (2011)
JCR rank
30/75 (2011)
JCR quartile
2 (2011)
ISSN
1662-5161
DOI
10.3389/fnhum.2011.00075
project
The integrative neuroscience of behavioral control (Neuroscience)
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1989166
handle
http://hdl.handle.net/1854/LU-1989166
date created
2012-01-17 10:58:45
date last changed
2013-02-27 09:07:07
@article{1989166,
  abstract     = {The role of the anterior cingulate cortex (ACC) in cognition has been extensively investigated with several techniques, including single-unit recordings in rodents and monkeys and EEG and fMRI in humans. This has generated a rich set of data and points of view. Important theoretical functions proposed for ACC are value estimation, error detection, error-likelihood estimation, conflict monitoring, and estimation of reward volatility. A unified view is lacking at this time, however. Here we propose that online value estimation could be the key function underlying these diverse data. This is instantiated in the reward value and prediction model (RVPM). The model contains units coding for the value of cues (stimuli or actions) and units coding for the differences between such values and the actual reward (prediction errors). We exposed the model to typical experimental paradigms from single-unit, EEG, and fMRI research to compare its overall behavior with the data from these studies. The model reproduced the ACC behavior of previous single-unit, EEG, and fMRI studies on reward processing, error processing, conflict monitoring, error-likelihood estimation, and volatility estimation, unifying the interpretations of the role performed by the ACC in some aspects of cognition.},
  articleno    = {75},
  author       = {Silvetti, Massimo and Seurinck, Ruth and Verguts, Tom},
  issn         = {1662-5161},
  journal      = {FRONTIERS IN HUMAN NEUROSCIENCE},
  keyword      = {error likelihood,volatility,conflict monitoring,reinforcement learning,reward,dopamine,ACC,REWARD,CONFLICT,STROOP TASK,BASAL GANGLIA,FUNCTIONAL MRI,PREFRONTAL CORTEX,NEURAL REPRESENTATION,ANTERIOR CINGULATE CORTEX,ORBITOFRONTAL CORTEX,DOPAMINE NEURONS},
  language     = {eng},
  pages        = {15},
  title        = {Value and prediction error in medial frontal cortex: integrating the single-unit and systems levels of analysis},
  url          = {http://dx.doi.org/10.3389/fnhum.2011.00075},
  volume       = {5},
  year         = {2011},
}

Chicago
Silvetti, Massimo, Ruth Seurinck, and Tom Verguts. 2011. “Value and Prediction Error in Medial Frontal Cortex: Integrating the Single-unit and Systems Levels of Analysis.” Frontiers in Human Neuroscience 5.
APA
Silvetti, M., Seurinck, R., & Verguts, T. (2011). Value and prediction error in medial frontal cortex: integrating the single-unit and systems levels of analysis. FRONTIERS IN HUMAN NEUROSCIENCE, 5.
Vancouver
1.
Silvetti M, Seurinck R, Verguts T. Value and prediction error in medial frontal cortex: integrating the single-unit and systems levels of analysis. FRONTIERS IN HUMAN NEUROSCIENCE. 2011;5.
MLA
Silvetti, Massimo, Ruth Seurinck, and Tom Verguts. “Value and Prediction Error in Medial Frontal Cortex: Integrating the Single-unit and Systems Levels of Analysis.” FRONTIERS IN HUMAN NEUROSCIENCE 5 (2011): n. pag. Print.