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Neurobiology of intelligence: science and ethics

Gray, Jeremy R., Thompson, Paul M.·2004·Nature Reviews Neuroscience

DOI 10.1038/nrn1405

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An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803
A Treatise of Human Nature
Hume, D. A. (1739) · Cambridge University Press eBooks · doi:10.1017/cbo9780511620409.040 · Cited by 9,910
Handbook of Positive Psychology
(2001) · doi:10.1093/oso/9780195135336.001.0001 · Cited by 9,158
Stereotype threat and the intellectual test performance of African Americans.
Steele, C. M., & Aronson, J. (1995) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.69.5.797 · Cited by 9,020
dbSNP: the NCBI database of genetic variation
Sherry, S. T. (2001) · Nucleic Acids Research · doi:10.1093/nar/29.1.308 · Cited by 7,502
"General Intelligence," Objectively Determined and Measured
Spearman, C. (1904) · The American Journal of Psychology · doi:10.2307/1412107 · Cited by 6,207
The Cognitive neurosciences
(2005) · Choice Reviews Online · doi:10.5860/choice.43-0626 · Cited by 4,726
Handbook of Competence and Motivation
Elliot, A. J., & Dweck, C. S. (2013) · Cited by 4,671
The Intuitive Psychologist And His Shortcomings: Distortions in the Attribution Process
Ross, L. (1977) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60357-3 · Cited by 4,170
Human Cognitive Abilities: A Survey of Factor-Analytic Studies
Carroll, J. B. (1993) · doi:10.1017/cbo9780511571312 · Cited by 4,121

Show all 169 references

Research works printed but not linked: 5

McDaniel, M. A. & Nguyen, N. T. A meta-analysis of the relationship between MRI-assessed brain volume and intelligence. Proc. Int. Soc. Intell. Res. (2002).
Kamin, L. J. Twin studies, heritability, and intelligence. Science 278, 1385 (1997).
Rowe, D. C. & Jacobson, K. C. in Behavioral Genetics (eds Carson, R. A. & Rothstein, M. A.) 12–34 (Johns Hopkins Univ. Press, Baltimore, 1999).
Mazziotta, J. C. et al. A probabilistic atlas and reference system for the human brain. J. R. Soc. 356, 1293–1322 (2001).
Neale, M. C. Mx: Statistical Modeling (Virginia Commonwealth Univ., Richmond, 1997).

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Authors: Gray, J. R., & Thompson, P. M.
Affiliations: Yale University (US)
University of California, Los Angeles (US)
ORCID: Thompson, Paul M.
Venue: Nature Reviews Neuroscience
Publisher: Springer Science and Business Media LLC
Published: 2004-06
Volume: 5
Issue: 6
Pages: 471-482
ISSN: 1471-003X (ISSN-L)
1471-0048
DOI: 10.1038/nrn1405
OpenAlex: W2149849723
Cited by: 479
References: 169
Citations by year: 2026: 2 · 2025: 10 · 2024: 15 · 2023: 8 · 2022: 9 · 2021: 29 · 2020: 54 · 2019: 16 · 2018: 17 · 2017: 26 · 2016: 19 · 2015: 14 · 2014: 36 · 2013: 20 · 2012: 23
FWCI: 6.18
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
Locations: Nature reviews. Neuroscience (publishedVersion)
PubMed (publishedVersion)
DigitalGeorgetown (Georgetown University Library) (submittedVersion)
Funders: National Institutes of Health
National Institute of Mental Health
National Institute of Biomedical Imaging and Bioengineering
National Center for Research Resources
Topics: Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
Social Sciences › Arts and Humanities › Philosophy › Neuroethics, Human Enhancement, Biomedical Innovations
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords: intelligence, lateral prefrontal cortex, heritability of intelligence, brain structure, environmental influences on intelligence, cognitive enhancement, psychometrics
MeSH terms: Animals, Brain, Humans, Intelligence, Neurobiology

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