Dynamics of Cortical Columns – Self-organization of Receptive Fields

  • Jörg Lücke
  • Jan D. Bouecke
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3696)


We present a system of differential equations which abstractly models neural dynamics and synaptic plasticity of a cortical macrocolumn. The equations assume inhibitory coupling between minicolumn activities and Hebbian type synaptic plasticity of afferents to the minicolumns. If input in the form of activity patterns is presented, self-organization of receptive fields (RFs) of the minicolumns is induced. Self-organization is shown to appropriately classify input patterns or to extract basic constituents form input patterns consisting of superpositions of subpatterns. The latter is demonstrated using the bars benchmark test. The dynamics was motivated by the more explicit model suggested in [1] but represents a much compacter, continuous, and easier to analyze dynamic description.


cerebral cortex cortical columns non-linear dynamics self-organization receptive fields 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Jörg Lücke
    • 1
    • 2
  • Jan D. Bouecke
    • 1
  1. 1.Institut für NeuroinformatikRuhr-UniversitätBochumGermany
  2. 2.Gatsby Computational Neuroscience UnitUCLLondonUK

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