SELF-WIRING OF NEURAL NETWORKS

Citation
R. Segev et E. Benjacob, SELF-WIRING OF NEURAL NETWORKS, Physics letters. A, 237(4-5), 1998, pp. 307-313
Citations number
15
Categorie Soggetti
Physics
Journal title
ISSN journal
03759601
Volume
237
Issue
4-5
Year of publication
1998
Pages
307 - 313
Database
ISI
SICI code
0375-9601(1998)237:4-5<307:SONN>2.0.ZU;2-V
Abstract
In order to form the intricate network of synaptic connections in the brain, the growth cones migrate through the embryonic environment to t heir targets using chemical communication. As a first step to study se lf-wiring, 2D model systems of neurons have been used. We present a si mple model to reproduce the salient features of the 2D systems. The mo del incorporates random walkers representing the growth cones, which m igrate in response to chemotaxis substances emitted by the soma and co mmunicating with each other and with the soma by means of attractive c hemotactic ''feedback''. (C) 1998 Elsevier Science B.V.