Self-wiring of neural networks

Ronen Segev, Eshel Ben-Jacob

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


In order to form the intricate network of synaptic connections in the brain, the growth cones migrate through the embryonic environment to their targets using chemical communication. As a first step to study self-wiring, 2D model systems of neurons have been used. We present a simple model to reproduce the salient features of the 2D systems. The model incorporates random walkers representing the growth cones, which migrate in response to chemotaxis substances emitted by the soma and communicating with each other and with the soma by means of attractive chemotactic "feedback".

Original languageEnglish
Pages (from-to)307-313
Number of pages7
JournalPhysics Letters, Section A: General, Atomic and Solid State Physics
Issue number4-5
StatePublished - 12 Jan 1998
Externally publishedYes


  • Chemotaxis
  • Growth cones
  • Internal energy
  • Neural network

ASJC Scopus subject areas

  • General Physics and Astronomy


Dive into the research topics of 'Self-wiring of neural networks'. Together they form a unique fingerprint.

Cite this