Analog VLSI and neural systems
Analog VLSI and neural systems
Winner-take-all networks of O(N) complexity
Advances in neural information processing systems 1
Analog VLSI circuits for stimulus localization and centroid computation
International Journal of Computer Vision - Special issue: VLSI for computer vision
Active Perception
Analog VLSI Excitatory Feedback Circuits for AttentionalShifts and Tracking
Analog Integrated Circuits and Signal Processing
Analog VLSI Circuits for Covert Attentional Shifts
MICRONEURO '96 Proceedings of the 5th International Conference on Microelectronics for Neural Networks and Fuzzy Systems
Conjunction Search Using a 1-D, Analog VLSI-based, Attentional Search/Tracking Chip
ARVLSI '99 Proceedings of the 20th Anniversary Conference on Advanced Research in VLSI
Active pixel sensor design: from pixels to systems
CMOS imagers
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We have implemented a hardware model of selective visual attention within the neuromorphic, analog VLSI paradigm. The system includes a highly-parallel winner-take-all selection with excitatory and inhibitory influences. The selection specifies positions of attention based on an array of intensity levels, which comprise a primitive saliency map. The excitation and inhibition control the strategy for shifts of attention from one position to the next. The combination of these fundamental building blocks demonstrates emergent properties that can be observed in real time due to the parallel hardware 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 mode of operation is presented. The theoretical predictions are compared to experimental results.