Dynamic Model of the dLGN Push-Pull Circuitry

  • Rubén Ferreiroa
  • Eduardo Sánchez
  • Luis Martínez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6686)


In the present work we propose a dynamic model of the lateral geniculate nucleus (dLGN) that allows the implementation of different configurations of the push-pull circuitry in order to study the spatio-temporal filtering being carried out. It is widely accepted that each relay neuron receives only one input from a single retinal ganglion cell, which leads to interpret that the thalamus preserves the retinal structure of the receptive field and thus works as a simple relay station. We believe that this assumption is not fully valid and the thalamus could perform a more relevant processing of information through its complex push-pull circuitry. To test this hypothesis, a computational model was developed with a wiring configuration (convergence/divergence) between the retina and the dLGN based on experimental evidences, and a realistic description of the ON and OFF channels of dLGN. We found that this configuration may help improve the contrast of a stimulus by increasing its synaptic weight on higher frequencies.


Retinal Ganglion Cell Lateral Geniculate Nucleus Channel Relay Relay Cell Retinal Input 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Rubén Ferreiroa
    • 1
  • Eduardo Sánchez
    • 1
  • Luis Martínez
    • 2
  1. 1.Grupo de Sistemas Intelixentes (GSI), Departamento de Electrónica e ComputaciónUniversidade de Santiago de CompostelaSantiago de CompostelaSpain
  2. 2.Visual NeuroscienceInstituto de Neurociencias de AlicanteAlicanteSpain

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