L-system modeling of neurons

Bruce Howard McCormick; K. Mulchandani

doi:10.1117/12.185231

9 September 1994 L-system modeling of neurons

Bruce Howard McCormick, K. Mulchandani

Proceedings Volume 2359, Visualization in Biomedical Computing 1994; (1994) https://doi.org/10.1117/12.185231
Event: Visualization in Biomedical Computing 1994, 1994, Rochester, MN, United States

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.

Citation Download Citation

Bruce Howard McCormick and K. Mulchandani "L-system modeling of neurons", Proc. SPIE 2359, Visualization in Biomedical Computing 1994, (9 September 1994); https://doi.org/10.1117/12.185231

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