The effects of neuron heterogeneity and connection mechanism in cortical networks

Qingbai Zhao, Yiyuan Tang, Hongbo Feng, Changjun Li, Danni Sui

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


The mammalian cortices show an specific architecture close to the optimum, represented by the high clustering, short processing steps and short wiring length. What are the key factors that influence the layout of neural connectivity networks? Here a model to investigate the conditions leading to the small-world cortical networks with minimal global wiring is presented. The essential factors in this model are the introductions of the unequal number distribution of heterogeneous neurons and two connection mechanisms, the preferential attachment to neurons with large spatial coverage (PANLSC) and distance preference. Outcomes show that the specific architecture close to the optimum can only result from the PANLSC when the number distribution of neurons with diverse spatial coverage is highly unequal. This suggests the PANLSC may be an important connection mechanism in cortical systems.

Original languageEnglish (US)
Pages (from-to)5952-5957
Number of pages6
JournalPhysica A: Statistical Mechanics and its Applications
Issue number23
StatePublished - Oct 1 2008
Externally publishedYes


  • Cortical network
  • Global wiring
  • Optimal architecture
  • Preferential attachment

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability


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