Focal-Plane and Multiple Chip VLSI Approaches to CNNs

  • Authors:
  • M. Anguita;F. J. Pelayo;E. Ros;D. Palomar;A. Prieto

  • Affiliations:
  • Departamento de Electronica y Tecnología de Computadores, Facultad de Ciencias, Universidad de Granada, 18071-Granada, Spain;Departamento de Electronica y Tecnología de Computadores, Facultad de Ciencias, Universidad de Granada, 18071-Granada, Spain;Departamento de Electronica y Tecnología de Computadores, Facultad de Ciencias, Universidad de Granada, 18071-Granada, Spain;Departamento de Electronica y Tecnología de Computadores, Facultad de Ciencias, Universidad de Granada, 18071-Granada, Spain;Departamento de Electronica y Tecnología de Computadores, Facultad de Ciencias, Universidad de Granada, 18071-Granada, Spain

  • Venue:
  • Analog Integrated Circuits and Signal Processing - Special issue: cellular neural networks and analog VLSI
  • Year:
  • 1998

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Abstract

In this paper, three alternative VLSI analog implementationsof CNNs are described, which have been devised to perform imageprocessing and vision tasks: a programmable low-power CNN withembedded photo-sensors, a compact fixed-template CNN based onunipolar current-mode signals, and basic CMOS circuits to implementan extended CNN model using spikes. The first two VLSI approachesare intended for focal-plane image processing applications. Thethird one allows, since its dynamics is defined by process-independentlocal ratios and its input/outputs can be efficiently multiplexedin time, the construction of very large multiple chip CNNs formore complex vision tasks.