Paper: Self-Wiring of Neural Networks.

[Ronen Segev]

Dear Connectionist,

The following paper has been published at 
Physics Letters A, Vol 237/4-5(1998), p. 307-313.
Hard copies can be obtained by sending an email to:
segevr at post.tau.ac.il
Your comments are welcome!

Ronen Segev,
email: segevr at post.tau.ac.il,
School of Physics & Astronomy,
Tel Aviv university.

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TITLE: 
    Self-Wiring of Neural Networks

AUTHORS: 
    Ronen Segev and Eshel Ben-Jacob.
    Tel Aviv university, Tel Aviv, Israel.

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".