What can individual differences tell us about the specialization of function?

REFERENCES

• Anderson , M. 2010 . Neural reuse: A fundamental organizational principle of the brain . Behavioral and Brain Sciences , 33 ( 4 ) : 245 – 266 .
   PubMed Web of Science ®Google Scholar
• Barrett , H. C. and Kurzban , R. 2006 . Modularity in cognition: Framing the debate . Psychological Review , 113 ( 3 ) : 628
   PubMed Web of Science ®Google Scholar
• Bartholomew , D. , Deary , I. and Lawn , M. 2009 . A new lease of life for Thomson's bonds model of intelligence . Psychological Review , 116 ( 3 ) : 567
   PubMed Web of Science ®Google Scholar
• Beldade , P. and Brakefield , P. M. 2003 . Concerted evolution and developmental integration in modular butterfly wing patterns . Evolution & Development , 5 ( 2 ) : 169 – 179 .
   PubMed Web of Science ®Google Scholar
• Borsboom , D. and Dolan , C. V. 2006 . Why g is not an adaptation: A comment on Kanazawa (2004) Psychological Review, 113, 433–437
   Google Scholar
• Cabeza , R. and Nyberg , L. 2000 . Imaging cognition II: An empirical review of 275 PET and fMRI studies . Journal of Cognitive Neuroscience , 12 ( 1 ) : 1 – 47 .
   PubMed Web of Science ®Google Scholar
• Calabretta , R. , Ferdinando , A. D. , Wagner , G. P. and Parisi , D. 2003 . What does it take to evolve behaviorally complex organisms? . Bio Systems , 69 ( 2–3 ) : 245 – 262 .
   PubMed Web of Science ®Google Scholar
• Calabretta , R. , Nolfi , S. , Parisi , D. and Wagner , G. P. 2000 . Duplication of modules facilitates the evolution of functional specialization . Artificial Life , 6 ( 1 ) : 69 – 84 .
   PubMed Web of Science ®Google Scholar
• Carroll , J. 1993 . Human cognitive abilities: A survey of factor-analytic studies , New York, NY : Cambridge University Press .
   Google Scholar
• Carruthers , P. 2006 . The architecture of the mind: Massive modularity and the flexibility of thought , New York, NY : Oxford University Press .
   Google Scholar
• Carruthers , P. and Chamberlain , A. 2000 . Evolution and the human mind: Modularity, language, and meta-cognition , New York, NY : Cambridge University Press .
   Google Scholar
• Chabris , C. F. 2006 . “ Cognitive and neurobiological mechanisms of the law of general intelligence ” . In Integrating the mind: Domain general versus domain specific processes in higher cognition , Edited by: Roberts , M. J. Hove, , UK : Psychology Press .
   Google Scholar
• Colom , R. , Rebollo , I. , Palacios , A. , Juan-Espinosa , M. and Kyllonen , P. 2004 . Working memory is (almost) perfectly predicted by g . Intelligence , 32 ( 3 ) : 277 – 296 .
   Web of Science ®Google Scholar
• Coltheart , M. 1999 . Modularity and cognition . Trends in Cognitive Sciences , 3 ( 3 ) : 115 – 120 .
   PubMed Web of Science ®Google Scholar
• Cosmides , L. and Tooby , J. 1992 . Cognitive adaptations for social exchange. In Barkow, L. Cosmides, & J. Tooby (Eds.) . The adapted mind: Evolutionary psychology and the generation of culture , (pp. 163–227). New York, NY: Oxford University Press
   Google Scholar
• Cosmides , L. and Tooby , J. 1994 . “ Origins of domain specificity: The evolution of functional organization ” . In Mapping the mind: Domain specificity in cognition and culture , Edited by: Hirschfeld , L. A. and Gelman , S. A. 85 – 116 . New York, NY : Cambridge University Press .
   Google Scholar
• Deary , I. , Penke , L. and Johnson , W. 2010 . The neuroscience of human intelligence differences . Nature Reviews Neuroscience , 11 ( 3 ) : 201 – 211 .
   PubMed Web of Science ®Google Scholar
• Dehaene , S. and Cohen , L. 2007 . Cultural recycling of cortical maps . Neuron , 56 ( 2 ) : 384 – 398 .
   PubMed Web of Science ®Google Scholar
• Ferreira , F. and Clifton , C. 1986 . The independence of syntactic processing . Journal of Memory and Language , 25 ( 3 ) : 348 – 368 .
   Web of Science ®Google Scholar
• Fodor , J. 1983 . The modularity of mind: An essay on faculty psychology , Cambridge, MA : MIT Press .
   Google Scholar
• Gerhart , J. , Kirschner , M. and Moderbacher , E. S. 1997 . Cells, embryos, and evolution: Toward a cellular and developmental understanding of phenotypic variation and evolutionary adaptability , Malden, MA : Blackwell Science .
   Google Scholar
• Gray , J. R. , Chabris , C. F. and Braver , T. S. 2003 . Neural mechanisms of general fluid intelligence . Nature Neuroscience , 6 ( 3 ) : 316 – 322 .
   PubMed Web of Science ®Google Scholar
• Gustafsson , J. E. 1984 . A unifying model for the structure of intellectual abilities . Intelligence , 8 ( 3 ) : 179 – 203 .
   Web of Science ®Google Scholar
• Jung , R. E. and Haier , R. J. 2007 . The parieto-frontal integration theory (P-FIT) of intelligence: Converging neuroimaging evidence . Behavioral and Brain Sciences , 30 ( 2 ) : 135 – 154 .
   PubMed Web of Science ®Google Scholar
• Kanwisher , N. 2000 . Domain specificity in face perception . Nature Neuroscience , 3 : 759 – 763 .
   PubMed Web of Science ®Google Scholar
• Kline , R. B. 2010 . Principles and practice of structural equation modeling , New York, NY : The Guilford Press .
   Google Scholar
• Kyllonen , P. C. 2002 . “ g: Knowledge, speed, strategies, or working-memory capacity? A systems perspective ” . In The general factor of intelligence: How general is it? Edited by: Stemberg , R. J. and Gigorenko , E. L. 415 – 445 .
   Google Scholar
• Laird A. R., Lancaster J. L., & Fox P. T. (2005). BrainMap: The social evolution of a functional neuroimaging database. Neuroinformatics 3, 65–78.
   Google Scholar
• Lee , J. J. 2007 . Ag beyond Homo sapiens? Some hints and suggestions . Intelligence , 35 ( 3 ) : 253 – 265 .
   Web of Science ®Google Scholar
• Lenneberg , E. H. 1967 . Biological foundations of language , Oxford, UK: Wiley
   Google Scholar
• Marcus , G. F. 2006 . Cognitive architecture and descent with modification . Cognition , 101 ( 2 ) : 443 – 465 .
   PubMed Web of Science ®Google Scholar
• Marr , D. 1982 . Vision: A computational approach , San Francisco, CA : Freeman & Co .
   Google Scholar
• Newell, A., Shaw, J. C., & Simon, H. A. (1959). Report on a general problem-solving program. Proceedings of the International Conference on Information Processing, 256–264.
   Google Scholar
• Patthy , L. 2003 . Modular assembly of genes and the evolution of new functions . Genetica , 118 ( 2 ) : 217 – 231 .
   PubMed Web of Science ®Google Scholar
• Penke , L. , Borsboom , D. , Johnson , W. , Kievit , R. A. , Ploeger , A. and Wicherts , J. M. in press . Evolutionary psychology and intelligence research cannot be integrated the way Kanazawa (2010) suggests . American Psychologist ,
   Web of Science ®Google Scholar
• Peretz , I. and Coltheart , M. 2003 . Modularity of music processing . Nature Neuroscience , 6 ( 7 ) : 688 – 691 .
   PubMed Web of Science ®Google Scholar
• Peretz , I. and Zatorre , R. J. 2005 . Brain organization for music processing . Annual Review of Psychology , 56 : 89 – 114 .
   PubMed Web of Science ®Google Scholar
• Pinker , S. 1997 . How the mind works , New York, NY : Norton .
   Google Scholar
• Rabaglia , C. , Lane , S. P. and Marcus , G. F. 2011 . Why are human cognitive abilities strongly intercorrelated? , Manuscript submitted for publication
   Google Scholar
• Redies , C. and Puelles , L. 2001 . Modularity in vertebrate brain development and evolution . Bioessays , 23 ( 12 ) : 1100 – 1111 .
   PubMed Web of Science ®Google Scholar
• Ritchie , J. B. and Carruthers , P. 2010 . Massive modularity is consistent with most forms of neural reuse . Behavioral and Brain Sciences , 33 ( 4 ) : 289 – 290 .
   Web of Science ®Google Scholar
• SAS Institute . 2008 . SAS/STAT 9.2 user's guide , Cary, NC : Author .
   Google Scholar
• Schlosser , G. and Wagner , G. P. 2004 . Modularity in development and evolution , Chicago : University of Chicago Press .
   Google Scholar
• Shatil , E. and Share , D. L. 2003 . Cognitive antecedents of early reading ability: A test of the modularity hypothesis . Journal of Experimental Child Psychology , 86 ( 1 ) : 1 – 31 .
   PubMed Web of Science ®Google Scholar
• Spearman , C. 1904 . “General intelligence,” objectively determined and measured . The American Journal of Psychology , 15 ( 2 ) : 201 – 292 .
   Google Scholar
• Spivey , M. J. , Tanenhaus , M. K. , Eberhard , K. M. and Sedivy , J. C. 2002 . Eye movements and spoken language comprehension: Effects of visual context on syntactic ambiguity resolution . Cognitive Psychology , 45 ( 4 ) : 447 – 481 .
   PubMed Web of Science ®Google Scholar
• Tanenhaus , M. K. , Spivey-Knowlton , M. J. , Eberhard , K. M. and Sedivy , J. C. 1995 . Integration of visual and linguistic information in spoken language comprehension . Science , 268 ( 5217 ) : 1632
   PubMed Web of Science ®Google Scholar
• Tarr , M. J. and Gauthier , I. 2000 . FFA: A flexible fusiform area for subordinate-level visual processing automatized by expertise . Nature Neuroscience , 3 : 764 – 770 .
   PubMed Web of Science ®Google Scholar
• Thomson, G. (1916). A hierarchy without a general factor. British Journal of Psychology, 8(3), 271–281.
   Google Scholar
• Van Der Maas , H. , Dolan , C. , Grasman , R. , Wicherts , J. , Huizenga , H. and Raijmakers , M. 2006 . A dynamical model of general intelligence: The positive manifold of intelligence by mutualism . Psychological Review , 113 ( 4 ) : 842 – 861 .
   PubMed Web of Science ®Google Scholar
• Wagner , G. P. , Pavlicev , M. and Cheverud , J. M. 2007 . The road to modularity . Nature Reviews Genetics , 8 ( 12 ) : 921 – 931 .
   PubMed Web of Science ®Google Scholar