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A CBL network model with intracortical plasticity and natural image stimuli

  • Part II: Cortical Maps and Receptive Fields
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Artificial Neural Networks — ICANN'97 (ICANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1327))

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Abstract

We present a simplified binocular neural network model of the primary visual cortex with separate ON/OFF-pathways and modifiable afferent as well as intracortical synaptic couplings. Natural image stimuli drive the weight adaptation which follows Hebbian learning rules stabilized with constant norm and constant sum constraints. The simulations consider the development of orientation selective cortical cells and orientation maps under different conditions concerning stimulus patterns and lateral couplings. Strong short range excitatory lateral connections emerge between individual cortical neurons with inhibitory couplings being less specific and rather diffuse.

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References

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Author information

Authors and Affiliations

  1. Institut für Biophysik und physikalische Biochemie, Universität Regensburg, D-93040, Regensburg, Germany

    Thomas Burger & Elmar W. Lang

Authors
  1. Thomas Burger
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  2. Elmar W. Lang
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Editor information

Wulfram Gerstner Alain Germond Martin Hasler Jean-Daniel Nicoud

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© 1997 Springer-Verlag Berlin Heidelberg

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Burger, T., Lang, E.W. (1997). A CBL network model with intracortical plasticity and natural image stimuli. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020160

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  • DOI: https://doi.org/10.1007/BFb0020160

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63631-1

  • Online ISBN: 978-3-540-69620-9

  • eBook Packages: Springer Book Archive

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