AI Article Synopsis
- The medial prefrontal cortex (mPFC) and anterior cingulate cortex play key roles in higher cognitive functions and various clinical disorders, but their exact functions are still debated.
- Various theories surrounding mPFC have looked at factors like errors, conflicts, and rewards with no single explanation fitting all findings.
- The authors present a new model based on learning principles that can simulate diverse effects seen in mPFC, suggesting it functions to learn and predict the outcomes of actions, framing cognitive control as evaluating possible and actual results of behaviors.
Article Abstract
The medial prefrontal cortex (mPFC) and especially anterior cingulate cortex is central to higher cognitive function and many clinical disorders, yet its basic function remains in dispute. Various competing theories of mPFC have treated effects of errors, conflict, error likelihood, volatility and reward, using findings from neuroimaging and neurophysiology in humans and monkeys. No single theory has been able to reconcile and account for the variety of findings. Here we show that a simple model based on standard learning rules can simulate and unify an unprecedented range of known effects in mPFC. The model reinterprets many known effects and suggests a new view of mPFC, as a region concerned with learning and predicting the likely outcomes of actions, whether good or bad. Cognitive control at the neural level is then seen as a result of evaluating the probable and actual outcomes of one's actions.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3183374 | PMC |
| http://dx.doi.org/10.1038/nn.2921 | DOI Listing |
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