A smart-scanning analog VLSI visual-attention system

We have implemented a hardware model of selective visual attention within t he neuromorphic, analog VLSI paradigm. The system includes a highly-paralle l winner-take-all selection with excitatory and inhibitory influences. The selection specifies positions of attention based on an array of intensity l evels, which comprise a primitive saliency map. The excitation and inhibiti on control the strategy for shifts of attention from one position to the ne xt. The combination of these fundamental building blocks demonstrates emerg ent properties that can be observed in real time due to the parallel hardwa re implementation. The system behaves as a smart-scanning sensor array. The basic characteristics of the scanning pattern are controlled by setting a number of analog parameters. In this paper we describe the system, focusing on the role that inhibition plays in the redirection of attention. We show experimental results from one-dimensional implementations of the hardware model. Analysis that explains the expected behavior for the two-element mod e of operation is presented. The theoretical predictions are compared to ex perimental results.