Issue |
EPL
Volume 87, Number 2, July 2009
|
|
---|---|---|
Article Number | 20003 | |
Number of page(s) | 6 | |
Section | General | |
DOI | https://doi.org/10.1209/0295-5075/87/20003 | |
Published online | 05 August 2009 |
Dynamics of path aggregation in the presence of turnover
1
Max Planck Institute for the Physics of Complex Systems - Nöthnitzer Strasse 38, 01187 Dresden, Germany, EU
2
Department of Mathematics, University of British Columbia - Vancouver, BC, Canada V6T 1Z2
3
TCMP Division, Saha Institute of Nuclear Physics - 1/AF Bidhan Nagar, Kolkata 700064, India
4
Institute of Physiology, Academy of Sciences of the Czech Republic - Videnska 1083, 14220 Praha 4, Czech Republic, EU
Corresponding author: zapotocky@biomed.cas.cz
Received:
16
April
2009
Accepted:
8
July
2009
We investigate the slow time scales that arise from aging of the paths during the process of path aggregation. This is studied using Monte Carlo simulations of a model aiming to describe the formation of fascicles of axons mediated by contact axon-axon interactions. The growing axons are represented as interacting directed random walks in two spatial dimensions. To mimic axonal turnover, random walkers are injected and whole paths of individual walkers are removed at specified rates. We identify several distinct time scales that emerge from the system dynamics and can exceed the average axonal lifetime by orders of magnitude. In the dynamical steady state, the position-dependent distribution of fascicle sizes obeys a scaling law. We discuss our findings in terms of an analytically tractable, effective model of fascicle dynamics.
PACS: 05.40.-a – Fluctuation phenomena, random processes, noise, and Brownian motion / 05.40.Fb – Random walks and Levy flights / 87.19.lx – Development and growth
© EPLA, 2009
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.