Ronen Segev, Eshel Ben-Jacob
Published 1997-10-01Version 1
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".
Comments: 10 pages, 10 PostScript figures. Originally submitted to the neuro-dev archive which was never publicly announced (was 9710001)
Generic Modeling of Chemotactic Based Self-Wiring of Neural Networks
Fluctuation-learning relationship in neural networks
Comment on "Finite size scaling in Neural Networks"
