Rapid Correspondence Finding in Networks of Cortical Columns

  • Jörg Lücke
  • Christoph von der Malsburg
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4131)


We describe a neural network able to rapidly establish correspondence between neural fields. The network is based on a cortical columnar model described earlier. It realizes dynamic links with the help of specialized columns that evaluate similarities between the activity distributions of local feature cell populations, are subject to a topology constraint, and gate the transfer of feature information between the neural fields. Correspondence finding requires little time (estimated to 10-40 ms in physiological terms) and is robust to noise in feature signals.


Feature Vector Dynamic Link Neural Field Control Column Topology Term 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jörg Lücke
    • 1
    • 2
  • Christoph von der Malsburg
    • 2
    • 3
    • 4
  1. 1.Gatsby Computational Neuroscience UnitUCLLondonUK
  2. 2.Institut für NeuroinformatikRuhr-UniversitätBochumGermany
  3. 3.Frankfurt Institute for Advanced StudiesFrankfurt a. M.Germany
  4. 4.Computer Science Dept.University of Southern CaliforniaUSA

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