Simulating a Network of Cortical Areas Using Anatomical Connection Data in the Cat

  • F. T. Sommer
  • R. Kötter

Abstract

To what extent does corticocortical connectivity alone provide an explanation of the macroscopical flow of activity recorded in the cerebral cortex of anesthetized cats?

Different connectivity structures between cortical areas have been incorporated into a simple cortex model with binary activity states. We compare connectivity models (nearest-neighbor and nearest-neighbor-or-next-door-but-one) with a connectivity based on a database collated from anatomical tracer studies. The agreement with functional neuronographic experiments produced by systematic connections is compared with random connectivity constrained by equal connection distributions. All systematic connectivity structures reproduce the experimentally observed activity patterns in the cerebral cortex of the cat significantly better than random connections (mean error percentage 20 % versus 40 %). However, real anatomical connectivity exhibits the most significant performance difference versus random connectivity. In addition, the simulation reproduces typical topographic features of electrophysiologically demonstrated activity spread in the cerebral cortex of the cat.

Keywords

Cerebral Cortex Cortical Area Connectivity Structure Connectivity Model Connection Strength 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • F. T. Sommer
    • 1
  • R. Kötter
    • 2
  1. 1.Department of NeuroinformaticsUniversity of UlmUlmGermany
  2. 2.Center for Anatomy and Brain ResearchHeinrich Heine University DüsseldorfDüsseldorfGermany

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