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Hardware implementation of a mixed analog-digital neural network

  • R. Izak
  • K. Trott
  • Th. Zahn
  • U. Markl
Poster Abstracts
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1226)

Abstract

This paper describes a hardware implementation of a firing neural network based on the models of Gerstner. It mainly consists of analog building blocks (neurons, synapses), but because of their digital interface and controlling it is a mixed-mode structure. The complete physical implementation of all components allows massive parallel and real time computation. The input data processing is located off-chip to enlarge the number of implementable neural networks.

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • R. Izak
    • 1
  • K. Trott
    • 1
  • Th. Zahn
    • 1
  • U. Markl
    • 1
  1. 1.Technical UniversityIlmenauGermany

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