Abstract
Studies of attention suggest a model in which attention emerges from a parallel, distributed competition. Within that framework, this contribution tries to explain the findings of the experiment by CHELAZZI ET AL. [1] by taking into account feedback from successive stages. It is shown that the developed model can qualitatively obtain the same results as measured in the experiment. Furthermore, the model shows promising similarities to human reaction times in visual search tasks.
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© 1999 Springer-Verlag London Limited
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Hamker, F.H. (1999). The role of feedback connections in task-driven visual search. In: Heinke, D., Humphreys, G.W., Olson, A. (eds) Connectionist Models in Cognitive Neuroscience. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0813-9_22
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DOI: https://doi.org/10.1007/978-1-4471-0813-9_22
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