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Analog VLSI circuits for stimulus localization and centroid computation

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Abstract

An analog aggregation network that extracts the position of a stimulus in a sensory field is presented. This network is integrated with photodiodes in a VLSI circuit that performs stimulus localization through the computation of the centroid of a visual image. In this implementation, bipolar transistors and global subtraction are used to produce a high-precision centroid implementation. Theory for the localization of a bright visual stimulus is developed, and the theoretical predictions are compared to experimental data taken from the 160×160-pixel centroid circuit. Finally, the applications of these circuits to more complex feature extraction and to sensorimotor feedback systems are discussed.

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Author notes

  1. Stephen P. Deweerth

    Present address: School of Electrical Engineering, Georgia Institute of Technology, 30332-0250, Atlanta, GA

Authors and Affiliations

  1. Physics of Computation Laboratory, California Institute of Technology, A 91125, Pasadena

    Stephen P. Deweerth

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  1. Stephen P. Deweerth
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Deweerth, S.P. Analog VLSI circuits for stimulus localization and centroid computation. Int J Comput Vision 8, 191–202 (1992). https://doi.org/10.1007/BF00055151

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