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PMID: 9527831 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Review

Axon guidance: stretching gradients to the limit.

Neural computation ·Vol. 10 ·No. 3 ·1998-04-01 ·Pages 521-7

Goodhill GJ, Baier H

Abstract

Neuronal growth cones, the sensory-motile structures at the tips of developing axons, navigate to their targets over distances that can be many times greater than their diameter. They may accomplish this impressive task by following spatial gradients of axon guidance molecules in their environment (Bonhoeffer & Gierer, 1984; Tessier-Lavigne & Placzek, 1991; Baier & Bonhoeffer, 1994). We calculate the optimal shape of a gradient and the distance over which it can be detected by a growth cone for two competing mechanistic models of axon guidance. The results are surprisingly simple: Regardless of the mechanism, the maximum distance is about 1 cm. Since gradients and growth cones have coevolved, we suggest that the shape of the gradient in situ will predict the mechanism of gradient detection. In addition, we show that the experimentally determined dissociation constants for receptor-ligand complexes implicated in axon guidance are about optimal with respect to maximizing guidance distance. The relevance of these results to the retinotectal system is discussed.

MeSH Terms
Animals Artifacts Axons/physiology Ligands Models, Chemical Nerve Tissue/growth & development Receptors, Cell Surface/metabolism Retina/metabolism Superior Colliculi/metabolism
Chemicals
Ligands Receptors, Cell Surface
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Goodhill G J
Georgetown Institute for Cognitive and Computational Sciences, Georgetown University Medical Center, Washington, DC 20007, USA.
Baier H
Article Info
Journal
Neural computation
Abbr.
Neural Comput
ISSN
0899-7667
Published
1998-04-01
Pages
521-7
Language
English
Region
United States
NLM ID
9426182
Subset
IM
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