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Feature integration, attention, and fixations during visual search

Published online by Cambridge University Press:  24 May 2017

Abbas Khani  and
Mehdi Ordikhani-Seyedlar
Abbas Khani
Affiliation:
Functional Brain Mapping Laboratory, Department of Basic Neurosciences, University of Geneva, 1211 Geneva, Switzerland. [email protected] Visual Cognition Laboratory, Department of Medicine, University of Fribourg, 1700 Fribourg, Switzerland.
Mehdi Ordikhani-Seyedlar
Affiliation:
Department of Neurobiology, Duke University, Durham, NC 27710. [email protected]
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Abstract

We argue that mechanistic premises of “item-based” theories are not invalidated by the fixation-based approach. We use item-based theories to propose an account that does not advocate strict serial item processing and integrates fixations. The main focus of this account is feature integration within fixations. We also suggest that perceptual load determines the size of the fixations.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 40 , 2017 , e141
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Copyright
Copyright © Cambridge University Press 2017 

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References

Buschman, T. J. & Miller, E. K. (2009) Serial, covert shifts of attention during visual search are reflected by the frontal eye fields and correlated with population oscillations. Neuron 63:386–96. doi: 10.1016/j.neuron.2009.06.020.CrossRefGoogle ScholarPubMed
Fischer, B. (1987) The preparation of visually guided saccades. Reviews of Physiology Biochemistry and Pharmacology 106:1–35.Google Scholar
Gilad-Gutnick, S. & Sinha, P. (2012) Recognizing degraded faces: The contribution of configural and featural cues. Perception 41(12):1497–511.CrossRefGoogle ScholarPubMed
Kahneman, D. & Treisman, A. (1984) Changing views of attention and automaticity. In: Varieties of attention, ed. Parasuraman, R. & Davies, D. R., pp. 29–61. Academic Press.Google Scholar
Lavie, N. (1995) Perceptual load as a necessary condition for selective attention. Journal of Experimental Psychology: Human Perception and Performance 21(3):451–68. doi: 10.1037/0096-1523.21.3.451.Google Scholar
Lavie, N. & Tsal, Y. (1994) Perceptual load as a major determinant of the locus of selection in visual attention. Perception and Psychophysics 56:183–97. doi: 10.3758/BF03213897.CrossRefGoogle Scholar
Marti, S., Bayet, L. & Dehaene, S. (2015) Subjective report of eye fixations during serial search. Consciousness and Cognition 33:1–15. doi: 10.1016/j.concog.2014.11.007.CrossRefGoogle ScholarPubMed
Oliva, A. & Torralba, A. (2006) Building the gist of a scene: The role of global image features in recognition. Progress in Brain Research 155:23–36. doi: 10.1016/S0079-6123(06)55002-2.Google Scholar
Treisman, A. M. & Gelade, G. (1980) A feature-integration theory of attention. Cognitive Psychology 12:97–136. doi: 10.1016/0010-0285(80)90005-5.Google Scholar
Xiaodi, H., Harel, J. & Koch, C. (2012) Image signature: Highlighting sparse salient regions. IEEE Transactions on Pattern Analysis and Machine Intelligence 34(1):194–201. doi: 10.1109/TPAMI.2011.146.CrossRefGoogle Scholar