The PCNN Kernel

  • Thomas Lindblad
  • Jason M. Kinser
Part of the Perspectives in Neural Computing book series (PERSPECT.NEURAL)


The PCNN convolution kernel is one of the main components of the PCNN. It can be manipulated to provide a variety of computations. The original Eckhorn model used a Gaussian type of interconnections, but when the PCNN is applied to image processing problems these interconnections are available to the user for altering the behaviour of the network.


Computational Load Internal Activity Dynamic Threshold Target Pattern Gaussian Type 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. [Niebur, 90]
    E. Neibur, F. Wörgötter, Circular Inhibition: A New Concept in Long-Range Interaction in the Mammalian Visual Cortex, Proc. IJCNN v. II, San Diego, 367–372 (1990).Google Scholar

Copyright information

© Springer-Verlag London 1998

Authors and Affiliations

  • Thomas Lindblad
    • 1
  • Jason M. Kinser
    • 2
  1. 1.Department of PhysicsRoyal Institute of TechnologyStockholmSweden
  2. 2.The Institute for Biosciences, Bioinformatics and Biotechnology, MSN 4E3George Mason UniversityManassasUSA

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