Format

Send to

Choose Destination
J Neurosci. 2013 Jan 30;33(5):2039-47. doi: 10.1523/JNEUROSCI.2201-12.2013.

Bayesian prediction and evaluation in the anterior cingulate cortex.

Author information

1
Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06519, USA.

Abstract

The dorsal anterior cingulate cortex (dACC) has been implicated in a variety of cognitive control functions, among them the monitoring of conflict, error, and volatility, error anticipation, reward learning, and reward prediction errors. In this work, we used a Bayesian ideal observer model, which predicts trial-by-trial probabilistic expectation of stop trials and response errors in the stop-signal task, to differentiate these proposed functions quantitatively. We found that dACC hemodynamic response, as measured by functional magnetic resonance imaging, encodes both the absolute prediction error between stimulus expectation and outcome, and the signed prediction error related to response outcome. After accounting for these factors, dACC has no residual correlation with conflict or error likelihood in the stop-signal task. Consistent with recent monkey neural recording studies, and in contrast with other neuroimaging studies, our work demonstrates that dACC reports at least two different types of prediction errors, and beyond contexts that are limited to reward processing.

PMID:
23365241
PMCID:
PMC3711643
DOI:
10.1523/JNEUROSCI.2201-12.2013
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for HighWire Icon for PubMed Central
Loading ...
Support Center