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Integrative modeling of prefrontal cortex

(2017) JOURNAL OF COGNITIVE NEUROSCIENCE. 29(10). p.1674-1683
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Abstract
pFC is generally regarded as a region critical for abstract reasoning and high-level cognitive behaviors. As such, it has become the focus of intense research involving a wide variety of subdisciplines of neuroscience and employing a diverse range of methods. However, even as the amount of data on pFC has increased exponentially, it appears that progress toward understanding the general function of the region across a broad array of contexts has not kept pace. Effects observed in pFC are legion, and their interpretations are generally informed by a particular perspective or methodology with little regard with how those effects may apply more broadly. Consequently, the number of specific roles and functions that have been identified makes the region a very crowded place indeed and one that appears unlikely to be explained by a single general principle. In this theoretical article, we describe how the function of large portions of pFC can be accommodated by a single explanatory framework based on the computation and manipulation of error signals and how this framework may be extended to account for additional parts of pFC.
Keywords
ANTERIOR CINGULATE CORTEX, STIMULUS-DRIVEN ATTENTION, ERROR-RELATED, NEGATIVITY, MEDIAL FRONTAL-CORTEX, COGNITIVE CONTROL, WORKING-MEMORY, ORBITOFRONTAL CORTEX, COMPUTATIONAL MODEL, DECISION-MAKING, NEUROCOMPUTATIONAL MODEL

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Citation

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Chicago
Alexander, William H., Eliana Vassena, James Deraeve, and Zachary D. Langford. 2017. “Integrative Modeling of Prefrontal Cortex.” Journal of Cognitive Neuroscience 29 (10): 1674–1683.
APA
Alexander, W. H., Vassena, E., Deraeve, J., & Langford, Z. D. (2017). Integrative modeling of prefrontal cortex. JOURNAL OF COGNITIVE NEUROSCIENCE, 29(10), 1674–1683.
Vancouver
1.
Alexander WH, Vassena E, Deraeve J, Langford ZD. Integrative modeling of prefrontal cortex. JOURNAL OF COGNITIVE NEUROSCIENCE. Cambridge: Mit Press; 2017;29(10):1674–83.
MLA
Alexander, William H., Eliana Vassena, James Deraeve, et al. “Integrative Modeling of Prefrontal Cortex.” JOURNAL OF COGNITIVE NEUROSCIENCE 29.10 (2017): 1674–1683. Print.
@article{8552705,
  abstract     = {pFC is generally regarded as a region critical for abstract reasoning and high-level cognitive behaviors. As such, it has become the focus of intense research involving a wide variety of subdisciplines of neuroscience and employing a diverse range of methods. However, even as the amount of data on pFC has increased exponentially, it appears that progress toward understanding the general function of the region across a broad array of contexts has not kept pace. Effects observed in pFC are legion, and their interpretations are generally informed by a particular perspective or methodology with little regard with how those effects may apply more broadly. Consequently, the number of specific roles and functions that have been identified makes the region a very crowded place indeed and one that appears unlikely to be explained by a single general principle. In this theoretical article, we describe how the function of large portions of pFC can be accommodated by a single explanatory framework based on the computation and manipulation of error signals and how this framework may be extended to account for additional parts of pFC.},
  author       = {Alexander, William H. and Vassena, Eliana and Deraeve, James and Langford, Zachary D.},
  issn         = {0898-929X},
  journal      = {JOURNAL OF COGNITIVE NEUROSCIENCE},
  keyword      = {ANTERIOR CINGULATE CORTEX,STIMULUS-DRIVEN ATTENTION,ERROR-RELATED,NEGATIVITY,MEDIAL FRONTAL-CORTEX,COGNITIVE CONTROL,WORKING-MEMORY,ORBITOFRONTAL CORTEX,COMPUTATIONAL MODEL,DECISION-MAKING,NEUROCOMPUTATIONAL MODEL},
  language     = {eng},
  number       = {10},
  pages        = {1674--1683},
  publisher    = {Mit Press},
  title        = {Integrative modeling of prefrontal cortex},
  url          = {http://dx.doi.org/10.1162/jocn\_a\_01138},
  volume       = {29},
  year         = {2017},
}

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