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Proceedings Paper

L-system modeling of neurons
Author(s): Bruce Howard McCormick; K. Mulchandani
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Paper Abstract

A formal representation of neuron morphology, adequate for the geometric modeling of manually-traced neurons, is presented. The concept of a stochastic L-system is then introduced and the critical distribution functions governing the stochastic generation of dendritic and axonal trees are defined. Experiments with various stochastic L-system models for pyramidal, motoneuron, and Purkinje cells are reported which generate synthetic neurons with promising proximity to neurons in the neurobiology literature. Work is in progress to improve this degree of proximity, but more importantly to validate the derived stochastic models against available databases of manually-traced neurons. To this end a neuron morphology modeler is described which provides a methodology for iterative refinement of the stochastic L-system model.

Paper Details

Date Published: 9 September 1994
PDF: 13 pages
Proc. SPIE 2359, Visualization in Biomedical Computing 1994, (9 September 1994); doi: 10.1117/12.185231
Show Author Affiliations
Bruce Howard McCormick, Texas A&M Univ. (United States)
K. Mulchandani, Texas A&M Univ. (United States)


Published in SPIE Proceedings Vol. 2359:
Visualization in Biomedical Computing 1994
Richard A. Robb, Editor(s)

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