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A Proposed Extension of the CODAM Model for Human Attention

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Information Systems Development

Abstract

A new computational model of visual attention is proposed on a theoretical basis, based on the CODAM model (Taylor, 2002, [25], 2006). Also a more general mechanism is proposed for an attention model of two or more senses working concurrently. The additional mechanism is mainly based on the interaction of the attention mechanism in the brain with working memory.

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References

  1. Broadbent D.E. (1958). Perception and Communication. London: Pergamon.

    Book  Google Scholar 

  2. Broadbent D.E. (1971). Decision and Stress. London: Academic Press.

    Google Scholar 

  3. Corbetta M., Shulman G.L. (2002). Control of goal-directed and stimulus-driven attention in the brain. Nat. Rev. Neurosci. 3, 201–215.

    Article  Google Scholar 

  4. Corbetta M., Tansy A.P., Stanley C.M., Astafiev SV., Snyder A.Z., Shulman G.L. (2005). A functional MRI study of preparatory signals for spatial location and objects. Neuropsychologia 43, 2041–2056.

    Article  Google Scholar 

  5. Coull J.T., Nobre A.C. (1998). Where and when to pay attention: the neural systems for directing attention to spatial locations and to time intervals as revealed to both PET and fMRI. J. Neurosci. 2, 7426–7735.

    Google Scholar 

  6. Cowan N. (2001). The magical number 4 in short-term memory: a reconsideration of mental storage capacity. Behav. Brain Sci. 24(1), 87–114.

    Article  Google Scholar 

  7. De Fockert JW, Rees G, Frith CD, Lavie N (2001). The role of working memory in visual selective attention. Science 291, 1803–1806

    Article  Google Scholar 

  8. Desimone R., Duncan J. (1995). Neural mechanics of selective visual attention. Annu. Rev. Neurosci. 18, 193–222.

    Article  Google Scholar 

  9. Fragopanagos N., Taylor J.G. (2007). Resolving some confusions over attention and consciousness. Neural Netw. 20, 993–1003

    Article  Google Scholar 

  10. Fragopanagos N., Kockelkoren S., Taylor J.G. (2005). A neurodynamic model of the attentional blink. Brain Res. Cogn. Brain Res. 24, 568–586.

    Article  Google Scholar 

  11. Hopfinger J.B., Buonocore M.H., Mangun G.R. (2000). The neural mechanisms of top-down attentional control. Nat. Neurosci. 3, 284–291.

    Article  Google Scholar 

  12. Itti L., Koch C., Niebur E., (1998). A model of saliency-based visual attention for rapid scene analysis. IEEE Trans. on Pattern Anal. Mach. Intell. 20(11), 1254–1259.

    Article  Google Scholar 

  13. Itti L., Koch C., (2000). A saliency-based search mechanism for overt and covert shifts of visual attention. Vision Res. 40, 1489–1506.

    Article  Google Scholar 

  14. Kasderidis S., Taylor J.G. (2005). Combining attention and value maps. Proc. ICANN .

    Google Scholar 

  15. Kasderidis S., Taylor J.G. (2004). Attentional agents and robot control. Int. J. Knowledge-based Intell. Syst. 8, 69–89.

    Google Scholar 

  16. Kastner S., Ungerleider L.G. (2000). Mechanisms of visual attention in the human cortex. Annu. Rev. Neurosci. 23, 315–341.

    Article  Google Scholar 

  17. Koch C., Ullman S. (1985). Shifts in selective visual attention: towards the underlying neural circuitry. Human Neurobiol. 4, 219–227.

    Google Scholar 

  18. Korsten N.H., Fragopanagos N., Hartley M., Taylor N., Taylor J.G. (2006). Attention as a controller. Neural Netw. 19(9), 1408–1421.

    Article  MATH  Google Scholar 

  19. Okazaki Y., Abrahamyan A., Stevens C.J., Ioannides A.A. (2008). The timing of the face selectivity and attentional modulation in visual processing. Neuroscience 152, 1130–1144.

    Article  Google Scholar 

  20. Pashler H., Johnstone J.C., Ruthruff E. (2001). Attention and performance. Ann. Rev.Psycho. 52, 629–651.

    Article  Google Scholar 

  21. Posner, M.I. (1980). Orienting of attention. Q. J. Exp. Psychol. 32, 3–25

    Article  Google Scholar 

  22. Raymond J.E., Shapiro K.L., Arnell K.M. (1992). Temporary suppression of visual processing in an RSVP task: an attentional blink?. J. Exp. Psychol. Hum. Percept. Perform. 18 (3): 849–60.

    Article  Google Scholar 

  23. Reason, J. (1990). Human Error. Cambridge, UK: Cambridge University Press.

    Google Scholar 

  24. Taylor J.G., Rogers M. (2002). A control model of the movement of attention. Neural Netw. 15, 309–326.

    Article  Google Scholar 

  25. Taylor J.G. (2003) Paying attention to consciousness. Prog. in Neurobiol. 71, 305–335.

    Article  Google Scholar 

  26. Treisman A., Gelade G. (1980). A feature integration theory of attention. Cogn. Psychol. 12(1), 97–136.

    Article  Google Scholar 

  27. Treisman, A. (1986). Features and objects in visual processing. Sci. Am. 254, 114–124.

    Article  Google Scholar 

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Neokleous, K.C., Avraamides, M.N., Ioannides, A.A., Neocleous, C.K., Schizas, C.N. (2009). A Proposed Extension of the CODAM Model for Human Attention. In: Papadopoulos, G., Wojtkowski, W., Wojtkowski, G., Wrycza, S., Zupancic, J. (eds) Information Systems Development. Springer, Boston, MA. https://doi.org/10.1007/b137171_15

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  • DOI: https://doi.org/10.1007/b137171_15

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-84809-9

  • Online ISBN: 978-0-387-84810-5

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