Intelligence

Resources

Ajaelu, C. C. (2018). The impact of nature/nurture on human intelligence. Journal of Clinical Psychology Behavioural Health.

Akdeniz, G. (2018). Does resting-state EEG band power reflect fluid intelligence?. NeuroQuantology, 16(4).

Barbey, A. K. (2018). Network neuroscience theory of human intelligence. Trends in Cognitive Sciences, 22(1), 8-20.

Baughman, F.D., Thomas, M.S.C., Anderson, M., & Reid, C. (2016). Common mechanisms in intelligence and development: A study of ability profiles in mental age-matched primary school children. Intelligence, 56, 99-107.

Boseck, J. (2014). Intelligence and the brain. [video]. (15:30 minutes). Available on: Intelligence and the brain | Dr. Justin Boseck | TEDxStMichael

Boyden, E. (2017). The intelligence revolution: Coupling AI and the human brain. [video]. (3;04 minutes). Available on: The Intelligence Revolution: Coupling AI and the Human Brain | Ed Boyden

Chan, E., MacPherson, S. E., Bozzali, M., Shallice, T., & Cipolotti, L. (2018). The influence of fluid intelligence, executive functions and premorbid intelligence on memory in frontal patients. Frontiers in Psychology, 9.

Colom, R., Karama, S., Jung, R. E., & Haier, R. J. (2022). Human intelligence and brain networks. Dialogues in Clinical Neuroscience. https://doi.org/10.31887/DCNS.2010.12.4/rcolom

Deary, I. J., Harris, S. E., & Hill, W. D. (2018). What genome-wide association studies reveal about the association between intelligence and physical health, illness, and mortality. Current Opinion in Psychology 27, 6-12.

Demetriou, A., Makris, N., Spanoudis, G., Kazi, S., Shayer, M., & Kazali, E. (2018). Mapping the dimensions of general intelligence: An integrated differential-developmental theory. Human Development, 61(1), 4-42.

De Smedt, B., Devriendt, K., Fryns, J. P., Vogels, A., Gewillig, M., & Swillen, A. (2007). Intellectual abilities in a large sample of children with Velo-Cardio-Facial Syndrome: an update. Journal of Intellectual Disability Research, 51, 666-670.

Daugherty, A. M., Zwilling, C., Paul, E. J., Sherepa, N., Allen, C., Kramer, A. F., ... & Barbey, A. K. (2018). Multi-modal fitness and cognitive training to enhance fluid intelligence. Intelligence, 66, 32-43.

Evans, N. J., Steyvers, M., & Brown, S. D. (2018). Modeling the covariance structure of complex datasets using cognitive models: An application to individual differences and the heritability of cognitive ability. Cognitive Science, 42(6), 1925-1944.

Feldman, M. W., & Ramachandran, S. (2018). Missing compared to what? Revisiting heritability, genes and culture. Philosophical Transactions of the Royal Society B: Biological Sciences, 373(1743), 20170064.

Filičková, M., Ropovik, I., Bobaková, M., & Kovalčíková, I. (2015). The relationship between fluid intelligence and learning potential: Is there an interaction with attentional control?.  Journal of Pedagogy, 6(1), 25-41.

Flynn, J. R. (1987). Massive IQ gains in 14 nations: What IQ tests really measure. Psychological Bulletin, 101(2), 171.

Flynn, J. R. (2007). What is intelligence?: Beyond the Flynn effect. Cambridge University Press.

Flynn, J. R. (2018). Reflections about intelligence over 40 years. Intelligence, 70, 73-83.

Friedman, N. P., Miyake, A., Corley, R. P., Young, S. E., DeFries, J. C., & Hewitt, J. K. (2006). Not all executive functions are related to intelligence. Psychological Science, 17(2), 172-179.

Genç, E., Fraenz, C., Schlüter, C., Friedrich, P., Hossiep, R., Voelkle, M. C., ... & Jung, R. E. (2018). Diffusion markers of dendritic density and arborization in gray matter predict differences in intelligence. Nature Communications, 9(1), 1905.

Goriounova, N. A., & Mansvelder, H. D. (2019). Genes, cells and brain areas of intelligence. Frontiers in Human Neuroscience, 13.

Haier, R. J., & Jung, R. E. (2008). Brain imaging studies of intelligence and creativity: What is the picture for education?. Roeper Review, 30(3), 171-180.

Hawkins, J., & Blakeslee, S. (2007). On intelligence: How a new understanding of the brain will lead to the creation of truly intelligent machines. Macmillan.

Hill, W. D., Marioni, R. E., Maghzian, O., Ritchie, S. J., Hagenaars, S. P., McIntosh, A. M., ... & Deary, I. J. (2018). A combined analysis of genetically correlated traits identifies 187 loci and a role for neurogenesis and myelination in intelligence. Molecular Psychiatry, 1.

Kalbfleisch, M.L. (2004). The functional neural anatomy of talent.  The Anatomical Record, 277B (1), 21-36.    doi:10.1002/ar.b.20010  

Kalbfleisch, M.L., Van Meter, J.W., & Zeffiro, T.A. (2006 online, 2007 print). The influences of task difficulty and response correctness on neural systems supporting fluid reasoning. Cognitive Neurodynamics, (1)1, 71-84. doi:10.1007/s11571-006-9007-4.

Katzir, T., Christodoulou, J.A., & Chang, B. (in press). The neurobiological basis of fluency. In Z. Breznitz (Ed.), Brain, mind and fluency.

Khan Academy. (2014). Human brain and growing intelligence. [video] ((10:04 minutes). Available on: Human brain and growing intelligence

King, M. J., Katz, D. P., Thompson, L. A., & Macnamara, B. N. (2019). Genetic and environmental influences on spatial reasoning: A meta-analysis of twin studies. Intelligence, 73, 65-77.

Kovalčíková, I., Ropovik, I., Ferjencik, J., Bobakova, M., Slavkovská, M., & Filičková, M. (2014). The quality of deductive reasoning in inferring words from context: comparison of the performance of standard and talented 9-10 year old pupils. Journal of Preschool and Elementary School Education, (6), 41-66.

Kozma, R., Alippi, C., Choe, Y., & Morabito, F. C. (Eds.). (2018). Artificial Intelligence in the age of neural networks and brain computing. Washington, DC: Academic Press.

Manzano, Ö. de, & Ullén, F. (2018). Genetic and environmental influences on the phenotypic associations between intelligence, personality, and creative achievement in the arts and sciences. Intelligence, 69, 123-133.

Melchior, M., & Hebebrand, J. (2018). Unraveling genetic factors involved in intelligence, educational attainment and socioeconomic standing: what are the implications for childhood mental health care professionals?. European Child & Adolescent Psychiatry, 27(5), 545-552.

Miikkulainen, R., Liang, J., Meyerson, E., Rawal, A., Fink, D., Francon, O., ... & Hodjat, B. (2019). Evolving deep neural networks. In Artificial Intelligence in the age of neural networks and brain computing (pp. 293-312). Washington, DC: Academic Press.

Nikolaidis, A., & Barbey, A. K. (2018). Network dynamics theory of human Intelligence. The Cambridge handbook of the neuroscience of creativity, 382.

Peng, P., Wang, T., Wang, C., & Lin, X. (2019). A meta-analysis on the relation between fluid intelligence and reading/mathematics: Effects of tasks, age, and social economics status. Psychological Bulletin, 145(2), 189.

Plomin, R., & von Stumm, S. (2018). The new genetics of intelligence. Nature Reviews Genetics, 19(3), 148.

Plomin, R., & Deary, I. J. (2015). Genetics and intelligence differences: five special findings. Molecular Psychiatry, 20(1), 98-108.

Ramsden, S., Richardson, F. M., Josse, G., Thomas, M. S. C., Ellis, C., Shakeshaft, C., Seghier, M. L., & Price, C. J. (2011). Verbal and non-verbal intelligence changes in the teenage brain. Nature, 479, 113–116.

Ritchie, S. J., & Tucker-Drob, E. M. (2018). How much does education improve intelligence? A meta-analysis. Psychological Science, 29(8), 1358-1369.

Ritchie, S. J., Dickie, D. A., Cox, S. R., Hernández, M. D. C. V., Sibbett, R., Pattie, A., ... & Maniega, S. M. (2018). Brain structural differences between 73-and 92-year olds matched for childhood intelligence, social background, and intracranial volume. Neurobiology of Aging, 62, 146-158.

Rosman, T., Mayer, A. K., & Krampen, G. (2015). Intelligence, academic self-concept, and information literacy: The role of adequate perceptions of academic ability in the acquisition of knowledge about information searching. Information Research: An International Electronic Journal, 20(1), n1.

Sauce, B., & Matzel, L. D. (2018). The paradox of intelligence: Heritability and malleability coexist in hidden gene-environment interplay. Psychological Bulletin, 144(1), 26.

Saxe, G. N., Calderone, D., & Morales, L. J. (2018). Brain entropy and human intelligence: A resting-state fMRI study. PloS one, 13(2), e0191582.

Schmitt, J. E., Raznahan, A., Clasen, L. S., Wallace, G. L., Pritikin, J. N., Lee, N. R., ... & Neale, M. C. (2019). The dynamic associations between cortical thickness and general intelligence are genetically Mediated. Cerebral Cortex.

Schultz, D. H., & Cole, M. W. (2016). Higher intelligence is associated with less task-related brain network reconfiguration. Journal of Neuroscience, 36(33), 8551-8561.

Selita, F., & Kovas, Y. (2019). Genes and Gini: what inequality means for heritability. Journal of Biosocial Science, 51(1), 18-47.

Shapshak, P. (2018). Artificial Intelligence and brain. Bioinformation, 14(1), 38.

Spengler, M., Gottschling, J., Hahn, E., Tucker-Drob, E. M., Harzer, C., & Spinath, F. M. (2018). Does the heritability of cognitive abilities vary as a function of parental education? Evidence from a German twin sample. PloS one, 13(5), e0196597.

Sripada, C., Angstadt, M., & Rutherford, S. (2018). Towards a "treadmill test" for cognition: Reliable prediction of intelligence from whole-brain task activation patterns. BioRxiv, 412056.

Thomas, M. S. C. (2016). Do more intelligent brains retain heightened plasticity for longer in development? A computational investigation. Developmental Cognitive Neuroscience, 19, 258–269.

Vostroknutov, A., Polonio, L., & Coricelli, G. (2018). The role of intelligence in social learning. Scientific Reports, 8(1), 6896.

Warne, R. T., Astle, M. C., & Hill, J. C. (2018). What do undergraduates learn about human intelligence? An analysis of introductory psychology textbooks. Archives of Scientific Psychology, 6(1), 32.

Woolgar, A., Duncan, J., Manes, F., & Fedorenko, E. (2018). Fluid intelligence is supported by the multiple-demand system not the language system. Nature Human Behaviour, 2(3), 200.

Zamroziewicz, M. K., Talukdar, M. T., Zwilling, C. E., & Barbey, A. K. (2017). Nutritional status, brain network organization, and general intelligence. Neuroimage, 161, 241-250.

Zabaneh, D., Krapohl, E., Gaspar, H. A., Curtis, C., Lee, S. H., Patel, H., ... & Lubinski, D. (2018). A genome-wide association study for extremely high intelligence. Molecular Psychiatry, 23(5), 1226.

Date of last update: 14-Dec-2022 CB

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