Top-down selective visual attention: A neurodynamical approach

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Abstract
We propose a system of interconnected modules consisting of populations of neurons for modelling the underlying mechanisms involved in selective visual attention. We demonstrate that it is plausible to build a neural system for visual search, which works across the visual field in parallel, but, due to the intrinsic dynamics of the system, resembles apparent modes of visual attention, namely the serial focal and the parallel spread over the space mode. Thus, neither explicit serial focal search nor saliency maps need to be assumed. A focal attentional spotlight is not included in the system but rather focal attention emerges due to the convergence of the dynamic behaviour of the neural networks. The dynamics of the system can be interpreted as a mechanism for routing information from the sensory input.

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