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Self-Wiring of Neural Networks | | Ronen Segev
; Eshel Ben-Jacob
; | | Date: |
1 Oct 1997 | | Subject: | Disordered Systems and Neural Networks; Neurons and Cognition | cond-mat.dis-nn q-bio.NC | | Affiliation: | School of Physics and Astronomy, Tel-Aviv University | | 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". | | Source: | arXiv, cond-mat/9710352 | | Services: | Forum | Review | PDF | Favorites | |
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