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Self-wiring of neural networks

By Ronen Segev and Eshel Ben-jacob

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 selfwiring, 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”

Topics: neural network, growth cones, chemotaxis, internal energy
Year: 1998
OAI identifier: oai:CiteSeerX.psu:10.1.1.305.8912
Provided by: CiteSeerX
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