Winner-take-all networks of O(N) complexity
Advances in neural information processing systems 1
An electronic photoreceptor sensitive to small changes in intensity
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
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Smart-Scanning Analog VLSI Visual-Attention System
Analog Integrated Circuits and Signal Processing - Special issue on selected papers from ECS '97
Analog VLSI Excitatory Feedback Circuits for AttentionalShifts and Tracking
Analog Integrated Circuits and Signal Processing
A Current-Mode Hysteretic Winner-take-all Network, with Excitatory and Inhibitory Coupling
Analog Integrated Circuits and Signal Processing
A Normalizing aVLSI Network with Controllable Winner-Take-All Properties
Analog Integrated Circuits and Signal Processing
A Simple-Architecture Motion-Detection Analog VLSI Based on Quasi-Two-Dimensional Hardware Algorithm
Analog Integrated Circuits and Signal Processing
Analog Integrated Circuits and Signal Processing
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The ability of animals to select a limited region of sensory space for scrutiny is an important factor in dealing with cluttered or complex sensory environments. Such an ``attentional'' system in the visual domain is believed to be involved in both the perception of objects and the control of eye movements in primates. While we can intentionally guide our attention to perform a specific task, it is also reflexively drawn to "salient" features in our sensory input space. Understanding how high-level task information and low-level stimulus information can combine to control our sensory processing is of great interest to both neuroscience and engineering. Towards this end, we have designed and fabricated a one-dimensional, analog VLSI vision chip that models covert attentional search and tracking. We extend previous analog VLSI work (Morris and DeWeerth, 1997) on the delayed onset of inhibition in a winner-take-all network to now use extracted image edges as input to the attentional saliency map and to perform serial search on a particular feature conjunction (spatial derivative and the direction-of-motion). We further demonstrate the ability to modify the circuit's parameters ``on-the-fly'' to switch between a search mode and a tracking mode.