Oscillatory Dynamic Link Matcher: A Bio-Inspired Neural Network for Pattern Recognition

نویسندگان

  • Ramin Pichevar
  • Jean Rouat
چکیده

In this paper we show that an unsupervised two-layered oscillatory neural network with intralayer connections, and a learning rule based on stimulus difference can behave as a Dynamic Link Matching Machine for invariant pattern recognition. We show that this architecture is robust to affine transformations. We call this architecture Oscillatory Dynamic Link Matching (ODLM).

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تاریخ انتشار 2004