Self-Wiring of Neural Networks
Disordered Systems and Neural Networks
2009-10-30 v1 Neurons and Cognition
Abstract
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 extracted by the soma and communicate with each other and with the soma by means of attractive chemotactic "feedback".
Cite
@article{arxiv.cond-mat/9710352,
title = {Self-Wiring of Neural Networks},
author = {Ronen Segev and Eshel Ben-Jacob},
journal= {arXiv preprint arXiv:cond-mat/9710352},
year = {2009}
}
Comments
10 pages, 10 PostScript figures. Originally submitted to the neuro-dev archive which was never publicly announced (was 9710001)