A new wide range Euclidean distance circuit for neural network hardware implementations

  • Authors:
  • A. Gopalan;A. H. Titus

  • Affiliations:
  • Dept. of Electr. Eng., State Univ. of New York, Buffalo, NY, USA;-

  • Venue:
  • IEEE Transactions on Neural Networks
  • Year:
  • 2003

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Abstract

In this paper, we describe an analog very large-scale integration (VLSI) implementation of a wide range Euclidean distance computation circuit - the key element of many synapse circuits. This circuit is essentially a wide-range absolute value circuit that is designed to be as small as possible (80 × 76 μm) in order to achieve maximum synapse density while maintaining a wide range of operation (0.5 to 4.5 V) and low power consumption (less than 200 μW). The circuit has been fabricated in 1.5-μm technology through MOSIS. We present simulated and experimental results of the circuit, and compare these results. Ultimately, this circuit is intended for use as part of a high-density hardware implementation of a self-organizing map (SOM). We describe how this circuit can be used as part of the SOM and how the SOM is going to be used as part of a larger bio-inspired vision system based on the octopus visual system.