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Micro-Mod - an L-systems approach to neu   Micro-Mod - an L-systems approach to neu... - PDF Document (382 K)
Pid: 6595
Title: Micro-Mod - an L-systems approach to neural modelling
Author: Jelinek, Herbert -- hjelinek@csu.edu.au -- Faculty of Business -- School of Community Health -- Centre for Research in Complex Systems (CRiCS)
Author: Karperien, Audrey -- akarperien@yahoo.com -- Faculty of Science -- School of Community Health
Author: Cornforth, David -- Faculty of Science and Agriculture -- School of Environment & Information Sciences
Author: Cesar, Roberto
Author: Leandro, Jose Jesus de Gomes
Publisher: Canberra, Australia : University of New South Wales, 2002.
In: Australia-Japan Joint Workshop on Intelligent and Evolutionary Systems
Author FoR: 060805 -- Animal Neurobiology -- 30%
Author FoR: 080106 -- Image Processing -- 40%
Author FoR: 080110 -- Simulation and Modelling -- 30%
Event name: Sixth Australia-Japan Joint Workshop on Intelligent and Evolutionary Systems
Event location: Canberra, Australia
Event date: 30/11/2002 - 1/12/2002
Event editor: Sarker, R., McKay, B. Gen, M. Namatame, A.
Year: 2002
Pages: 1-8
Abstract: Neurons and their support cells have a branching structure caused by their growth processes. The possibility of developing models of such structures can yield great rewards in our understanding of neural growth and function, and our ability to identify different types of neuron. Growth processes in other contexts have been successfully modelled as Lindenmayer systems, but little work has appeared using this approach for neural tissue. In this paper we present a new model of neuron growth using L-systems. MicroMod is a web-based program that allows models to be easily built using a comprehensive set of adjustable parameters. We illustrate some of the techniques facilitated by MicroMod, using the example of microglia. Simulated cells are compared with real cells, and then used to identify clusters that may provide a new classification of cell types. We suggest that the ability to link cluster description back to the parameters of the L-systems model may provide new insights into disease progression.
ISBN: 073170505X
Type: Conference paper
Open access: Copyright owner permission granted
Other link: http://trove.nla.gov.au/work/34608892?selectedversion=NBD40913741
Permalink: http://researchoutput.csu.edu.au/R/-?func=dbin-jump-full&object_id=6595&local_base=GEN01-CSU01
Sys: 000024259
Number of Deliveries 98
Author: Jelinek, Herbert
Author: Karperien, Audrey
Author: Cornforth, David
Author: Cesar, Roberto
Author: Leandro, Jose Jesus de Gomes

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