Task-dependent learning of attention

Neural Networks

Volumn 10, Issue 6, 1997, Pages 981-992

  Van De Laar, Piërre ^a   Heskes, Tom ^a   Gielen, Stan ^a  

^a NONE

Author keywords

Attention; Computer vision; Learning process; Neural networks; Visual search

Indexed keywords

COMPUTER SIMULATION; COMPUTER VISION; FEATURE EXTRACTION; LEARNING SYSTEMS; MATHEMATICAL MODELS;

TASK DEPENDENT LEARNING; VISUAL SEARCH;

NEURAL NETWORKS;

ARTICLE; ATTENTION; COGNITION; INFORMATION PROCESSING; LEARNING; NERVE CELL NETWORK; PRIORITY JOURNAL; REPRODUCTION; VISUAL SYSTEM;

EID: 0031213747     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(97)00031-2     Document Type: Article

References (33)

1. Ahmad, S. (1992). VISIT: A neural model of covert visual attention. In J.E. Moody, S.J. Hanson and R.P. Lippmann (Eds), Advances in Neural Information Processing Systems, (Vol. 4, pp. 420-427). San Mateo, CA: Morgan Kaufmann.
2. Amari S.-I. Dynamics of pattern formulation in lateral-inhibition type neural fields. Biological Cybernetics. 27:1977;77-87.
3. Anstis S.M. A chart demonstrating the variations in acuity with retinal positions. Vision Research. 14:1974;589-592.
4. Cave K.R., Wolfe J.M. Modeling the role of parallel processing in visual search. Cognitive Psychology. 22:1990;225-271.
5. Engel A.K., König P., Singer W. Direct physiological evidence for scene segmentation by temporal coding. Proceedings of the National Academy of Sciences USA. 88:1991;9136-9140.
6. Enns, J.T. (1990). Three-dimensional features that pop out in visual search. In D. Brogan (Ed.), Visual Search: Proceedings of the First International Conference on Visual Search, (Chapter 4, pp. 37-45). London: Taylor and Francis.
7. Fukushima K., Imagawa T. Recognition and segmentation of connected characters with selective attention. Neural Networks. 6(1):1993;33-41.
8. Glasius R., Komoda A., Gielen S. Population coding in a neural net for trajectory formation. Network: Computation in Neural Systems. 5(4):1994;549-563.
9. Humphreys G.W., Müller H.J. SEarch via Recursive Rejection (SERR): A connectionist model of visual search. Cognitive Psychology. 25:1993;43-110.
10. Johnston W.A., Dark V.J. Selective attention. Annual Review of Psychology. 37:1986;43-75.
11. Jonides J., Gleitman H. A conceptual category effect in visual search: 0 as letter or as digit. Perception and Psychophysics. 12(6):1972;457-460.
12. Klein R. Inhibitory tagging system facilitates visual search. Nature. 334:1988;430-431.
13. LeCun Y., Boser B., Denker J.S., Henderson D., Howard R.E., Hubbard W., Jackel L.D. Backpropagation applied to handwritten zip code recognition. Neural Computation. 1:1990;541-551.
14. Leow, W.K., & Miikkulainen, R. (1991). A neural network for attentional spotlight. In Proceedings of International Joint Conference on Neural Networks, Singapore, pp. 436-441.
15. Niebur, E., & Koch, C. (1996). Control of selective visual attention: Modeling the "where" pathway. In Advances in Neural Information Processing Systems, (Vol. 8, pp. 802-808). Cambridge, MA: MIT Press.
16. Olshausen B.A., Anderson C.H., Van Essen D.C. A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information. The Journal of Neuroscience. 13(11):1993;4700-4719.
17. Phaf R.H., van der Heijden A.H.C., Hudson P.T.W. SLAMI: A connectionist model for attention in visual selection tasks. Cognitive Psychology. 22:1990;273-341.
18. Posner M.I., Dehaene S. Attentional networks. Trends in Neurosciences. 17(2):1994;75-79.
19. Postma, E.O. (1994). SCAN: A Neural Model of Covert Attention. PhD thesis, Rijksuniversiteit Limburg, Wageningen.
20. Quinlan P.T., Humphreys G.W. Visual search for targets defined by combinations of color, shape, and size: An examination of the task constraints on feature and conjunction searches. Perception and Psychophysics. 41(5):1987;455-472.
21. Rumelhart, D.E., Hinton, G.E., & Williams, R.J. (1986). Learning internal representations by error propagation. In D.E. Rumelhart, J.L. McClelland and the PDP Research Group (Eds), Parallel distributed processing: Explorations in the microstructure of cognition, (Vol. 1, Chapter 8, pp. 318-362). Cambridge, MA: MIT Press.
22. Schneider W., Shiffrin R.M. Controlled and automatic human information processing. I. detection, search, and attention Psychological Review. 84(1):1977;1-66.
23. Shiffrin R.M., Schneider W. Controlled and automatic human information processing. II. perceptual learning, automatic attending and a general theory Psychological Review. 84(2):1977;127-190.
24. Townsend J.T. a note on the identifiability of parallel and serial processes. Perception and Psychophysics. 10(3):1971;161-163.
25. Treisman A. Perceptual grouping and attention in visual search for features and for objects. Journal of Experimental Psychology: Human Perception and Performance. 8(2):1982;194-214.
26. Treisman A. Features and objects in visual processing. Scientific American. 255(5):1986;106-115.
27. Treisman A., Sato S. Conjunction search revisited. Journal of Experimental Psychology: Human Perception and Performance. 16(3):1990;459-478.
28. Treisman A., Vieira A., Hayes A. Automaticity and pre-attentive processing. American Journal of Psychology. 105(2):1992;341-362.
29. Treisman A.M., Gelade G. A feature-integration theory of attention. Cognitive Psychology. 12:1980;97-136.
30. von der Malsburg Ch., Schneider W. A neural cocktail-party processor. Biological Cybernetics. 54:1986;29-40.
31. Wolfe J.M. Guided search 2.0: A revised model of visual search. Psychonomic Bulletin and Review. 1(2):1994;202-238.
32. Wolfe J.M., Cave K.R., Franzel S.L. Guided search: An alternative to the feature integration model for visual search. Journal of Experimental Psychology: Human Perception and Performance. 15(3):1989;419-433.
33. Yarbus, A.L. (1967). Eye Movements and Vision. New York: Plenum Press. (Trans. B. Haigh.).