Computational Models of Visual Attention-Reference-Cited by-同舟云学术

Computational Models of Visual Attention

Published:2002 Issue: Volume: Page:521-563
ISSN:1568-1033
Container-title:Models of the Visual System
language:
Short-container-title:

Author:

Steinman Scott B.,Steinman Barbara A.

Publisher

Springer US

Link

http://link.springer.com/content/pdf/10.1007/978-1-4757-5865-8_14

Reference168 articles.

1. Ahmad, S., 1991, VISIT: An efficient computational model of human visual attention, ICSI Technical Report vol. 91–049. International Computer Science Institute, Berkeley, CA.

2. Allman, J., Kaas, J. H., Lane, R. H., and Miezin, F. M., 1972, A representation of the visual field in the inferior nucleus of the pulvinar in the owl monkey (aotus trivirgatus), Brain Res. 40: 291–302.

3. Allman, J., Miezin, F. M., and McGuinness, E., 1985, Stimulus specific responses from beyond the classical receptive field: neurophysiological mechanisms for local-global comparisons in visual neurons, Ann. Rev. Neurosci. 8: 407–430.

4. Allport, D. A., 1980, Attention and performance, In: Cognitive Psychology: New Directions., G. Claxton, ed., Routledge and Kegan Paul, London.

5. Anderson, C., and Essen, D. V., 1987, Shifter circuits: a computational strategy for dynamic aspects of visual processing, Proc. Natl. Acad. Sci.. U.S.A. 84: 6297–6301

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