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Reuse or re-function?

Published online by Cambridge University Press:  22 October 2010

Daniela Aisenberg
Affiliation:
Department of Psychology, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel. aisenber@bgu.ac.ilhenik@bgu.ac.ilhttp://www.bgu.ac.il/~henik
Avishai Henik
Affiliation:
Department of Psychology, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel. aisenber@bgu.ac.ilhenik@bgu.ac.ilhttp://www.bgu.ac.il/~henik

Abstract

Simple specialization cannot account for brain functioning. Yet, we believe Anderson's reuse can be better explained by re-function. We suggest that functional demands shape brain changes and are the driving force behind reuse. For example, we suggest that the prefrontal cortex (PFC) is built as an infrastructure for multi-functions rather than as a module for reuse.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2010

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References

Ashkenazi, S., Henik, A., Ifergane, G. & Shelef, I. (2008) Basic numerical processing in left intraparietal sulcus (IPS) acalculia. Cortex 44:439–48.CrossRefGoogle ScholarPubMed
Botvinick, M. M., Cohen, J. D. & Carter, C. S. (2004) Conflict monitoring and anterior cingulate cortex: An update. Trends in Cognitive Sciences 8:539–46.CrossRefGoogle ScholarPubMed
Cantlon, J. F., Platt, M. L. & Brannon, E. M. (2009) Beyond the number domain. Trends in Cognitive Sciences 13:8391.CrossRefGoogle ScholarPubMed
Dehaene, S. (2005) Evolution of human cortical circuits for reading and arithmetic: The “neuronal recycling” hypothesis. In: From monkey brain to human brain, ed. Dehaene, S., Duhamel, J.-R., Hauser, M. D. & Rizolatti, G., pp. 133–57. MIT Press.CrossRefGoogle Scholar
Dehaene, S. & Cohen, L. (2007) Cultural recycling of cortical maps. Neuron 56:384–98.CrossRefGoogle ScholarPubMed
Duncan, J. (2001) An adaptive coding model of neural function in prefrontal cortex. Nature Reviews Neuroscience 2:820–29.CrossRefGoogle ScholarPubMed
Henik, A. & Tzelgov, J. (1982) Is three greater than five: The relation between physical and semantic size in comparison tasks. Memory and Cognition 10:389–95.CrossRefGoogle ScholarPubMed
Kerns, J. G., Cohen, J. D., MacDonald, A. W. III, Cho, R. Y., Stenger, V. A. & Carter, C. S. (2004) Anterior cingulate conflict monitoring and adjustments in control. Science 303:1023–26.CrossRefGoogle ScholarPubMed
Klein, R. M. (2000) Inhibition of return. Trends in Cognitive Sciences 4:138–47.CrossRefGoogle ScholarPubMed
Miller, E. K. (2000) The prefrontal cortex and cognitive control. Nature Reviews Neuroscience 1:5965.CrossRefGoogle ScholarPubMed
Posner, M. I. & Cohen, Y. (1984) Components of visual orienting. In: Attention and performance X, ed. Bouma, H. & Bouwhuis, D., pp. 531–56. Erlbaum.Google Scholar
Ridderinkhof, K. R., Ullsperger, M., Crone, E. A. & Nieuwenhuis, S. (2004) The role of the medial frontal cortex in cognitive control. Science 306:443–47.CrossRefGoogle ScholarPubMed
Rozin, P. (1976) The evolution of intelligence and access to the cognitive unconscious. In: Progress in psychobiology and physiological psychology, vol. 6, ed. Sprague, J. A. & Epstein, A. N., pp. 245–80. Academic Press.Google Scholar
Sapir, A., Hayes, A., Henik, A., Danziger, S. & Rafal, R. (2004) Parietal lobe lesions disrupt saccadic remapping of inhibitory location tagging. Journal of Cognitive Neuroscience 16:503509.CrossRefGoogle ScholarPubMed
Sapir, A., Soroker, N., Berger, A. & Henik, A. (1999) Inhibition of return in spatial attention: Direct evidence for collicular generation. Nature Neuroscience 2:1053–54.CrossRefGoogle ScholarPubMed