The Selective Tuning Model for Visual Attention

Neurobiology of Attention

Volumn , Issue , 2005, Pages 562-569

  Tsotsos, John K ^a  

^a YORK UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 67651134251     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-012375731-9/50096-3     Document Type: Chapter

References (11)

1. S. Culhane and J.K. Tsotsos (1992) An attentional prototype for early vision. I.G. Sandini (Eds) Second European Conference on Computer Vision, Lecture Notes in Computer Science 588 Cambridge, MA: Springer Verlag 551-560.
2. F. Cutzu and J.K. Tsotsos (2003) The selective tuning model of visual attention: Testing the predictions arising from the inhibitory surround mechanism. Vis. Res. 43 205-219.
3. J.K. Tsotsos (1988) How does human vision beat the computational complexity of visual perception? Z. Pylyshyn (Eds) Computational Processes in Human Vision: An Interdisciplinary Perspective Heidelberg, Germany: Ablex Press 286-338.
4. J.K. Tsotsos (1990) A complexity level analysis of vision. Behav. Brain Sci. 13 423-455.
5. J.K. Tsotsos (1993) An inhibitory beam for attentional selection. L. Harris, M. Jenkin (Eds) Spatial Vision in Humans and Robots Norwood, NJ: Cambridge University Press 313-331.
6. J.K. Tsotsos (1993) The role of computational complexity in understanding perception. S. Masin (Eds) Foundations of Perceptual Theory New York, NY: North-Holland Press 261-296.
7. J.K. Tsotsos (1995) Towards a Computational Model of Visual Attention. T. Papathomas, C. Chubb, A. Gorea, E. Kowler (Eds) Early Vision and Beyond Amsterdam: MIT Press/Bradford Books 207-218.
8. J.K. Tsotsos (1999) Triangles, pyramids, connections and attentive inhibition. PSYCHE 5
9. J.K. Tsotsos, S. Culhane and F. Cutzu (2001) From theoretical foundations to a hierarchical circuit for selective attention. J. Braun, C. Koch, J. Davis (Eds) Visual Attention and Cortical Cicrcuits Cambridge, MA: MIT Press 285-306.
10. J.K. Tsotsos, S. Culhane, W. Wai, Y. Lai, N. Davis and F. Nuflo (1995) Modeling visual attention via selective tuning. Artificial Intelligence 8 507-547.
11. J.K. Tsotsos, M. Pomplun, Y. Liu, J. Martinez-Trujillo and E. Simine (2002) Attending to motion: localzing and labelling simple motion patterns in image sequences. H.H. Bülthoff, S.-W. Lee, T. Poggio, C. Wallraven (Eds) Biologically Motivated Computer Vision. Second International Workshop, Lecture Notes in Computer Science 2525 Cambridge, MA: Springer-Verlag 439-452.