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Until the demise of the functional field of view

Published online by Cambridge University Press:  24 May 2017

Laurent Itti
Laurent Itti*
Affiliation:
Computer Science Department, Psychology Department and Neuroscience Graduate Program, University of Southern California, HNB-07A, Los Angeles, CA 90089-2520. [email protected]://iLab.usc.edu
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Abstract

Hulleman & Olivers (H&O) make a much-needed stride forward for a better understanding of visual search behavior by rejecting theories based on discrete stimulus items. I propose that the framework could be further enhanced by clearly delineating distinct mechanisms for attention guidance, selection, and enhancement during visual search, instead of conflating them into a single functional field of view.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 40 , 2017 , e140
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Copyright
Copyright © Cambridge University Press 2017 

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References

Allport, A., Meyer, D. E. & Kornblum, S. (1993) Attention and control: Have we been asking the wrong questions? A critical review of twenty-five years. In: Attention and performance XIV: Synergies in experimental psychology, artificial intelligence, and cognitive neuroscience, ed. Meyer, D. E. & Kornblum, S., pp. 183–218. MIT Press.Google Scholar
Bichot, N. P., Heard, M. T., DeGennaro, E. M. & Desimone, R. (2015) A source for feature-based attention in the prefrontal cortex. Neuron 88(4):832–44.Google Scholar
Borji, A. & Itti, L. (2013) State-of-the-art in visual attention modeling. IEEE Transactions on Pattern Analysis and Machine Intelligence 35(1):185–207.Google Scholar
Borji, A., Sihite, D. N. & Itti, L. (2013) Quantitative analysis of human-model agreement in visual saliency modeling: A comparative study. IEEE Transactions on Image Processing 22(1):55–69.Google Scholar
Carrasco, M. (2011) Visual attention: The past 25 years. Vision Research 51:1484–525. doi: 10.1016/j.visres.2011.04.012.Google Scholar
Chun, M. M. & Jiang, Y. (1998) Contextual cueing: Implicit learning and memory of visual context guides spatial attention. Cognitive Psychology 36(1):28–71.Google Scholar
Crick, F. (1984) Function of the thalamic reticular complex: The searchlight hypothesis. Proceedings of the National Academy of Sciences of the United States of America 81(14):4586–90.Google Scholar
Desimone, R. & Duncan, J. (1995) Neural mechanisms of selective visual attention. Annual Review of Neuroscience 18(1):193–222.Google Scholar
Driver, J. & Frith, C. (2000) Shifting baselines in attention research. Nature Reviews Neuroscience 1(2):147–48.Google Scholar
Ehinger, K. A., Hidalgo-Sotelo, B., Torralba, A. & Oliva, A. (2009) Modelling search for people in 900 scenes: A combined source model of eye guidance. Visual Cognition 17(6–7):945–78.Google Scholar
Itti, L. & Borji, A. (2013) Computational models: Bottom-up and top-down aspects. In: The Oxford handbook of attention, ed. Nobre, K. & Kastner, S., pp. 1122–58. Oxford University Press.Google Scholar
Itti, L. & Koch, C. (2001) Computational modelling of visual attention. Nature Reviews Neuroscience 2(3):194–203.Google Scholar
Kusunoki, M., Gottlieb, J. & Goldberg, M. E. (2000) The lateral intraparietal area as a salience map: The representation of abrupt onset, stimulus motion, and task relevance. Vision Research 40(10):1459–68.Google Scholar
Preston, T. J., Guo, F., Das, K., Giesbrecht, B. & Eckstein, M. P. (2013) Neural representations of contextual guidance in visual search of real-world scenes. Journal of Neuroscience 33(18):7846–55.Google Scholar
Reynolds, J. H. & Desimone, R. (1999) The role of neural mechanisms of attention in solving the binding problem. Neuron 24(1):19–29, 111–25.Google Scholar
Robertson, L. C. (2003) Binding, spatial attention and perceptual awareness. Nature Reviews Neuroscience 4(2):93–102.Google Scholar
Torralba, A., Oliva, A., Castelhano, M. S. & Henderson, J. M. (2006) Contextual guidance of eye movements and attention in real-world scenes: The role of global features in object search. Psychological Review. 113(4):766–86.Google Scholar
Zhang, Y., Meyers, E. M., Bichot, N. P., Serre, T., Poggio, T. A. & Desimone, R. (2011) Object decoding with attention in inferior temporal cortex. Proceedings of the National Academy of Sciences of the United States of America 108(21):8850–55.Google Scholar