Computational Models of Anterior Cingulate Cortex: At the Crossroads between Prediction and Effort

Simple item page
dc.contributor.authorVassena, Eliana
dc.contributor.authorHolroyd, Clay B.
dc.contributor.authorAlexander, William H.
dc.date.accessioned2018-08-27T14:33:39Z
dc.date.available2018-08-27T14:33:39Z
dc.date.copyright2017en_US
dc.date.issued2017
dc.description.abstractIn the last two decades the anterior cingulate cortex (ACC) has become one of the most investigated areas of the brain. Extensive neuroimaging evidence suggests countless functions for this region, ranging from conflict and error coding, to social cognition, pain and effortful control. In response to this burgeoning amount of data, a proliferation of computational models has tried to characterize the neurocognitive architecture of ACC. Early seminal models provided a computational explanation for a relatively circumscribed set of empirical findings, mainly accounting for EEG and fMRI evidence. More recent models have focused on ACC's contribution to effortful control. In parallel to these developments, several proposals attempted to explain within a single computational framework a wider variety of empirical findings that span different cognitive processes and experimental modalities. Here we critically evaluate these modeling attempts, highlighting the continued need to reconcile the array of disparate ACC observations within a coherent, unifying framework.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.description.sponsorshipThis work was funded by H2020 Marie Sklodowska-Curie Actions, project PreMotive number 705630.en_US
dc.identifier.citationVassena, E.; Holroyd, C.B.; & Alexander, W.H. (2017). Computational models of anterior cingulate cortex: At the crossroads between prediction and effort. Frontiers in Neuroscience, 11, article 316. doi: 10.3389/fnins.2017.00316en_US
dc.identifier.urihttps://doi.org/10.3389/fnins.2017.00316
dc.identifier.urihttp://hdl.handle.net/1828/9956
dc.language.isoenen_US
dc.publisherFrontiers in Neuroscienceen_US
dc.subjectanterior cingulate cortex (ACC)
dc.subjecteffort
dc.subjectprediction error
dc.subjectcomputational models of ACC
dc.subjectcomputational modeling
dc.subjecteffortful control
dc.subject.departmentDepartment of Psychology
dc.titleComputational Models of Anterior Cingulate Cortex: At the Crossroads between Prediction and Efforten_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
vassena_eliana_frontneurosci_2017.pdf
Size:
343.72 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Faculty and Staff Publications
 
University of Victoria Libraries

We acknowledge and respect the Lək̓ʷəŋən (Songhees and Esquimalt) Peoples on whose territory the university stands, and the Lək̓ʷəŋən and W̱SÁNEĆ Peoples whose historical relationships with the land continue to this day.