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Studies on cognitively driven attention suggest that late vision is cognitively penetrated, whereas early vision is not

Published online by Cambridge University Press:  05 January 2017

Athanassios Raftopoulos*
Affiliation:
Department of Psychology, University of Cyprus, 1678 Nicosia, [email protected]

Abstract

Firestone & Scholl (F&S) examine, among other possible cognitive influences on perception, the effects of peripheral attention and conclude that these effects do not entail cognition directly affecting perception. Studies in neuroscience with other forms of attention, however, suggest that a stage of vision, namely late vision, is cognitively penetrated mainly through the effects of cognitively driven spatial and object-centered attention.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2016 

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References

Anllo-Vento, L., Luck, S. J. & Hillyard, S. A. (1998) Spatio-temporal dynamics of attention to color: Evidence from human electrophysiology. Human Brain Mapping 6:216–38.Google Scholar
Barr, M. (2009) The proactive brain: Memory for predictions. Philosophical Transactions of the Royal Society London B Biological Sciences 364:1235–43.Google Scholar
Chelazzi, L., Miller, E., Duncan, J. & Desimone, R. (1993) A neural basis for visual search in inferior temporal cortex. Nature 363:345–47.Google Scholar
Clark, A. (2013) Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences 36(3):181204.Google Scholar
Kihara, K. & Takeda, Y. (2010) Time course of the integration of spatial frequency-based information in natural scenes. Vision Research 50:2158–62.CrossRefGoogle ScholarPubMed
Kosslyn, S. M. (1994) Image and brain. MIT Press.Google Scholar
Luck, S. J. (1995) Multiple mechanisms of visual-spatial attention: Recent evidence from human electrophysiology. Behavioral and Brain Research 71:113–23.Google Scholar
Mangun, G. R. & Hilyard, S. A. (1995) Electrophysiological studies of visual selective attention in humans. In: The neurobiology of higher cognitive function, ed. Rugg, M. D. & Coles, M. G., pp. 4085. Oxford University Press.Google Scholar
Mole, C. (2015) Attention and cognitive penetration. In: The cognitive penetrability of perception: New philosophical perspectives, ed. Ziembekis, J. & Raftopolous, A., pp. 218–38. Oxford University Press.CrossRefGoogle Scholar
Raftopoulos, A. (2009) Cognition and perception: How do psychology and neural science inform philosophy? MIT Press.Google Scholar
Raftopoulos, A. (2011) Late vision: Its processes and epistemic status. Frontiers in Psychology 2(382):112. doi:10.3389/fpsyg.2011.00382.Google Scholar
Raftopoulos, A. (2015) The cognitive impenetrability of perception and theory-ladenness. Journal of General Philosophy of Science 46(1):87103.Google Scholar
Roelfsema, P. R., Lamme, V. A. F. & Spekreijse, H. (1998) Object-based attention in the primary visual cortex of the macaque monkey. Nature 395:376–81.Google Scholar
Zeimbekis, J. & Raftopoulos, A., eds. (2015) Cognitive effects on perception: New philosophical perspectives. Oxford University Press.Google Scholar