Cognitive plasticity and cortical modules

Current Directions in Psychological Science

Volumn 18, Issue 3, 2009, Pages 153-158

  Mercado III, Eduardo ^a,b  

^a UNIVERSITY AT BUFFALO   (United States)

^b UNIVERSITY AT BUFFALO   (United States)

Author keywords

Cognitive aging; Cognitive modifiability; Cognitive neuroscience; Comparative cognition; Intelligence

Indexed keywords

EID: 68049139420     PISSN: 09637214     EISSN: 14678721     Source Type: Journal    
DOI: 10.1111/j.1467-8721.2009.01627.x     Document Type: Article

References (25)

1. Deary, I.J. (2000). Looking down on intelligence: From psychometrics to the brain. Oxford, England: Oxford University Press. A comprehensive overview of past and recent efforts to measure intelligence, including a thorough evaluation of hypothesized neural mechanisms of intelligence.
2. Jones, S., Nyberg, L., Sandblom, J., Neely, A.S., Ingvar, M., Petersson, K.M., et al. (2006). Cognitive and neural plasticity in aging: General and task-specific limitations. Neuroscience and Biobehavioral Reviews, 30, 864-871. A recent review of studies that examine age-related changes in the ability to learn or improve cognitive skills.
3. Mountcastle, V.B. (1998). Perceptual neuroscience: The cerebral cortex. Cambridge, MA: Harvard University Press. A detailed presentation of the anatomical and electrophysiological evidence for compartmentalized cortical processing modules in sensory cortices, with discussion of historical and modern theories of cortical function.
4. Quartz, S.R., & Sejnowski, T.J. (1997). The neural basis of cognitive development: A constructivist manifesto. Behavioral and Brain Sciences, 20, 537-596. This paper discusses how the representational features of the cortex arise during development from interactions between neural growth mechanisms and experience-dependent neural activity, as well as the proposal that the cortex evolved to increase representational flexibility and adaptability rather than to increase innate, functionally specialized circuits.
5. Rumbaugh, D.M., & Washburn, D.A. (2003). Intelligence of apes and other rational beings. New Haven, CT: Yale University Press. An up-to-date review of evidence for cognitive-skill learning in nonhumans that discusses the factors that determine what animals can learn.
6. Azmitia, E.C. (2007). Cajal and brain plasticity: Insights relevant to emerging concepts of mind. Brain Research Reviews, 55, 395 405.
7. Baltes, P.B. Kliegl, R. (1992). Further testing of limits of cognitive plasticity: Negative age differences in a mnemonic skill are robust. Developmental Psychology, 28, 121 125.
8. Brehmer, Y., Li, S.-C., Müller, V., von Oertzen, T. Lindenberger, U. (2007). Memory plasticity across the life span: Uncovering children's latent potential. Developmental Psychology, 43, 465 478.
9. Deary, I.J., Bell, P.J., Bell, A.J., Campbell, M.L. Fazal, N.D. (2004). Sensory discrimination and intelligence: Testing Spearman's other hypothesis. American Journal of Psychology, 117, 1 18.
10. Healy, S.D. Rowe, C. (2007). A critique of comparative studies of brain size. Proceedings of the Royal Society of London, Series B: Biological Sciences, 274, 453 464.
11. Jaeggi, S.M., Buschkuehl, M., Jonides, J. Perrig, W.J. (2008). Improving fluid intelligence with training on working memory. Proceedings of the National Academy of Sciences, USA, 105, 6829 6833.
12. Jung, R.E. Haier, R.J. (2007). The parieto-frontal integration theory (P-FIT) of intelligence: Converging neuroimaging evidence. Behavioral and Brain Sciences, 30, 135 187.
13. Li, W., Howard, J.D., Parrish, T.B. Gottfried, J.A. (2008). Aversive learning enhances perceptual and cortical discrimination of indiscriminable odor cues. Science, 319, 1842 1845.
14. Mahncke, H.W., Connor, B.B., Appelman, J., Ahsanuddin, O.N., Hardy, J.L., Wood, R.A., et al 2006). Memory enhancement in healthy older adults using a brain plasticity-based training program: A randomized, controlled study. Proceedings of the National Academy of Sciences, USA, 103, 12523 12528.
15. Marino, L., Connor, R.C., Fordyce, R.E., Herman, L.M., Hof, P.R., Lefebvre, L., et al 2007). Cetaceans have complex brains for complex cognition. PLOS Biology, 5, 966 972.
16. Mercado, E., III. (2008). Neural and cognitive plasticity: From maps to minds. Psychological Bulletin, 134, 109 137.
17. Mercado, E., III., Bao, S., Orduña, I., Gluck, M.A. Merzenich, M.M. (2001). Basal forebrain stimulation changes cortical sensitivities to complex sound. NeuroReport, 12, 2283 2287.
18. Shaw, P., Greenstein, D., Lerch, J., Clasen, L., Lenroot, R., Gogtay, N., et al 2006). Intellectual ability and cortical development in children and adolescents. Nature, 440, 676 679.
19. Smith, J.D., Minda, J.P. Washburn, D.A. (2004). Category learning in rhesus monkeys: A study of the Shepard, Hovland, and Jenkins (1961) tasks. Journal of Experimental Psychology: General, 133, 398 414.
20. Sridharan, D., Levitin, D.J. Menon, V. (2008). A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks. Proceedings of the National Academy of Sciences, USA, 105, 12569 12574.
21. Tallal, P. (2004). Improving language and literacy is a matter of time. Nature Reviews Neuroscience, 5, 721 728.
22. Weinberger, N.M. (2004). Specific long-term memory traces in primary auditory cortex. Nature Reviews Neuroscience, 5, 279 290.
23. Westerberg, H. Klingberg, T. (2007). Changes in cortical activity after training of working memory: A single-subject analysis. Physiology & Behavior, 92, 186 192.
24. Yokoyama, C., Tsukada, H., Watanabe, Y. Onoe, H. (2005). A dynamic shift of neural network activity before and after learning set formation. Cerebral Cortex, 15, 796 801.
25. Zaborszky, L. (2002). The modular organization of brain systems. Basal forebrain: The last frontier. Progress in Brain Research, 136, 359 372.