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A roadmap for integrating the brain with mind maps

Published online by Cambridge University Press:  26 July 2007

Andreas Demetriou  and
Antigoni Mouyi
Andreas Demetriou
Affiliation:
Department of Psychology, University of Cyprus, 1678 Nicosia, [email protected] Cyprus University of Technology, 3036 Limassol, Cyprus. [email protected]
Antigoni Mouyi
Affiliation:
Department of Psychology, University of Cyprus, 1678 Nicosia, [email protected]
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Abstract

This commentary compares the P-FIT model with psychometric and developmental models of intelligence and shows that there are isomorphisms and divergences between them. All three models involve some common dimensions, but the P-FIT model lacks many of the dimensions of the other models. Then we point to research that can lead to the integration of brain models with cognitive-developmental models.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 30 , Issue 2 , April 2007 , pp. 156 - 158
Copyright
Copyright © Cambridge University Press 2007

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References

Blair, C. (2006) How similar are fluid cognition and general intelligence? A developmental neuroscience perspective on fluid cognition as an aspect of human cognitive ability. Behavioral and Brain Sciences 29(2):109–25.CrossRefGoogle ScholarPubMed
Carroll, J. B. (1993) Human cognitive abilities: A survey of factor-analytic studies. Cambridge University Press.CrossRefGoogle Scholar
Demetriou, A. (2006) Dissecting g. Behavioral and Brain Sciences 29(2):130–32.CrossRefGoogle Scholar
Demetriou, A., Christou, C., Spanoudis, G. & Platsidou, M. (2002) The development of mental processing: Efficiency, working memory, and thinking. Monographs of the Society of Research in Child Development 67, Serial No. 268.Google ScholarPubMed
Demetriou, A. & Kazi, S. (2006) Self-awareness in g (with processing efficiency and reasoning). Intelligence 34:297–317.CrossRefGoogle Scholar
Demetriou, A., Mouyi, A. & Spanoudis, G. (submitted) Modeling the structure and development of g: Towards a neuro-cognitive model.Google Scholar
Goel, V., Buchel, C., Frith, C. & Dolan, R. J. (2000) Dissociation of mechanisms underlying syllogistic reasoning. NeuroImage 12(5):504–14.CrossRefGoogle ScholarPubMed
Gustafsson, J. E. & Undheim, J. O. (1996) Individual differences in cognitive functions. In: Handbook of educational psychology, ed. Berliner, D. C. & Calfee, R. C., pp.186–242. Macmillan.Google Scholar
Jensen, A. R. (1998) The g factor: The science of mental ability. Praeger.Google Scholar
Mouyi, A. (2007). Developmental dynamics binding processing efficiency, working memory, and reasoning: A longitudinal study. Unpublished doctoral dissertation, Department of Psychology, University of Cyprus, Nicosia, Cyprus.Google Scholar
Osherson, D., Perani, D., Cappa, S., Schnur, T., Grassi, F. & Fazio, F. (1998) Distinct brain loci in deductive versus probabilistic reasoning. Neuropsychologia 36:369–76.CrossRefGoogle ScholarPubMed