Plasticity Phenomena (Maturing, Learning & Memory)

Foundations and Tools for Neural Modeling

Volume 1606 of the series Lecture Notes in Computer Science pp 421-430

Date:

A network model for the emergence of orientation maps and local lateral circuits

  • Thomas BurgerAffiliated withInstitut für Biophysik und physikalische Biochemie, Universität Regensburg
  • , Elmar W. LangAffiliated withInstitut für Biophysik und physikalische Biochemie, Universität Regensburg

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Abstract

We present a nonlinear, recurrent neural network model of the primary visual cortex with separate ON/OFF-pathways and modifiable afferent as well as intracortical synaptic couplings. Orientation maps emerge driven by random input stimuli. Lateral coupling structures self-organize into DOG profiles under the influence of pronounced emerging cortical activity blobs. The model’s architecture and features are, compared with former models, well justified neurobiologically.