A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2008; you can also visit the original URL.
The file type is application/pdf
.
On Cellular Automaton Approaches to Modeling Biological Cells
[chapter]
2003
IMA Volumes in Mathematics and its Applications
We discuss two different types of Cellular Automata (CA): lattice-gasbased cellular automata (LGCA) and the cellular Potts model (CPM), and describe their applications in biological modeling. LGCA were originally developed for modeling ideal gases and fluids. We describe several extensions of the classical LGCA model to self-driven biological cells. In particular, we review recent models for rippling in myxobacteria, cell aggregation, swarming, and limb bud formation. These LGCA-based models
doi:10.1007/978-0-387-21696-6_1
fatcat:d45qrwcb75fu7fe3dd4cyj2jby