Go to content
UR Home

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

Burger, Thomas ; Lang, Elmar Mira, José , eds.


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.

Owner only: item control page
  1. Homepage UR

University Library

Publication Server


Publishing: oa@ur.de

Dissertations: dissertationen@ur.de

Research data: daten@ur.de

Contact persons