Literature DB >> 28195556

How neuroscience can inform the study of individual differences in cognitive abilities.

Dennis J McFarland1.   

Abstract

Theories of human mental abilities should be consistent with what is known in neuroscience. Currently, tests of human mental abilities are modeled by cognitive constructs such as attention, working memory, and speed of information processing. These constructs are in turn related to a single general ability. However, brains are very complex systems and whether most of the variability between the operations of different brains can be ascribed to a single factor is questionable. Research in neuroscience suggests that psychological processes such as perception, attention, decision, and executive control are emergent properties of interacting distributed networks. The modules that make up these networks use similar computational processes that involve multiple forms of neural plasticity, each having different time constants. Accordingly, these networks might best be characterized in terms of the information they process rather than in terms of abstract psychological processes such as working memory and executive control.

Entities:  

Keywords:  attention; intelligence; mental abilities; networks; speed of information processing; working memory

Mesh:

Year:  2017        PMID: 28195556      PMCID: PMC5855080          DOI: 10.1515/revneuro-2016-0073

Source DB:  PubMed          Journal:  Rev Neurosci        ISSN: 0334-1763            Impact factor:   4.353


  198 in total

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Review 2.  The frontal lobes and the regulation of mental activity.

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3.  The neural site of attention matches the spatial scale of perception.

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Journal:  J Neurosci       Date:  2006-03-29       Impact factor: 6.167

4.  Stimulus-dependent processing of temporal order.

Authors:  M Fink; P Ulbrich; J Churan; M Wittmann
Journal:  Behav Processes       Date:  2006-01-18       Impact factor: 1.777

5.  Temporal characteristics of neural activity related to target detection during visual search.

Authors:  Tomoe Hayakawa; Norio Fujimaki; Toshihide Imaruoka
Journal:  Neuroimage       Date:  2006-08-21       Impact factor: 6.556

6.  A new lease of life for Thomson's bonds model of intelligence.

Authors:  David J Bartholomew; Ian J Deary; Martin Lawn
Journal:  Psychol Rev       Date:  2009-07       Impact factor: 8.934

7.  Prefrontal cortical modulation of acetylcholine release in posterior parietal cortex.

Authors:  C L Nelson; M Sarter; J P Bruno
Journal:  Neuroscience       Date:  2005       Impact factor: 3.590

Review 8.  Superior colliculus and visual spatial attention.

Authors:  Richard J Krauzlis; Lee P Lovejoy; Alexandre Zénon
Journal:  Annu Rev Neurosci       Date:  2013-05-15       Impact factor: 12.449

9.  Differential age-dependent associations of gray matter volume and white matter integrity with processing speed in healthy older adults.

Authors:  Zhaoping Hong; Kwun Kei Ng; Sam K Y Sim; Mei Yi Ngeow; Hui Zheng; June C Lo; Michael W L Chee; Juan Zhou
Journal:  Neuroimage       Date:  2015-08-21       Impact factor: 6.556

10.  An acetylcholine-activated microcircuit drives temporal dynamics of cortical activity.

Authors:  Naiyan Chen; Hiroki Sugihara; Mriganka Sur
Journal:  Nat Neurosci       Date:  2015-04-27       Impact factor: 24.884

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  3 in total

1.  Preclinical modeling of exposure to a global marine bio-contaminant: Effects of in utero Domoic acid exposure on neonatal behavior and infant memory.

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2.  Evaluation of multidimensional models of WAIS-IV subtest performance.

Authors:  Dennis J McFarland
Journal:  Clin Neuropsychol       Date:  2017-04-21       Impact factor: 3.535

Review 3.  Educational fMRI: From the Lab to the Classroom.

Authors:  Mohamed L Seghier; Mohamed A Fahim; Claudine Habak
Journal:  Front Psychol       Date:  2019-12-06
  3 in total

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