Neuronal Growth: A Bistable Stochastic Process

Timo Betz, Daryl Lim, and Josef A. Käs
Phys. Rev. Lett. 96, 098103 – Published 10 March 2006

Abstract

The fundamentally stochastic nature of neuronal growth has hardly been addressed in neuroscience. We report on the stochastic fluctuations of a neuronal growth cone’s leading edge movement, the basic step in neuronal growth. Describing the edge movement as a stochastic bistable process leads to an isotropic noise parameter that is successfully used to test the model. An analysis of growth cone motility confirms the model, and predicts that linear changes of the bistable potential, as known from stochastic filtering, result in directed growth cone translocation.

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  • Received 29 November 2005

DOI:https://doi.org/10.1103/PhysRevLett.96.098103

©2006 American Physical Society

Authors & Affiliations

Timo Betz*, Daryl Lim, and Josef A. Käs

  • Institute of Soft Matter Physics, Linnéstrasse 5, 04109 Leipzig, Germany

  • *Electronic address: tobetz@physik.uni-leipzig.de

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Issue

Vol. 96, Iss. 9 — 10 March 2006

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