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2000 (1)
1Author    Christoph Bauer3, Thomas Burger3, Martin Stetterb, ElmarW. Lang3Requires cookie*
 Title    A Neural Network Model for the Self-Organization of Cortical Grating Cells  
 Abstract    A neural network model with incremental Hebbian learning of afferent and lateral synap­ tic couplings is proposed,which simulates the activity-dependent self-organization o f grating cells in upper layers of striate cortex. These cells, found in areas VI and V2 of the visual cortex of monkeys, respond vigorously and exclusively to bar gratings of a preferred orienta­ tion and periodicity. R esponse behavior to varying contrast and to an increasing number of bars in the grating show threshold and saturation effects. Their location with respect to the underlying orientation map and their nonlinear response behavior are investigated. The number of emerging grating cells is controlled in the model by the range and strength of the lateral coupling structure. 
  Reference    Z. Naturforsch. 55c, 282 (2000); received July 5/Decem ber 10 1999 
  Published    2000 
  Keywords    Self-Organization, Nonlinearities, Visual Cortex, (Anti-)H ebbian Learning, Lateral Plasticity 
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 TEI-XML for    default:Reihe_C/55/ZNC-2000-55c-0282.pdf 
 Identifier    ZNC-2000-55c-0282 
 Volume    55