论文信息 - Quantifying Neuronal Morphology: A Case Study of the Growth Model Approach

Quantifying Neuronal Morphology: A Case Study of the Growth Model Approach

University of Leipzig, Institute of Computer Science , 04109 Leipzig *Netherlands Institute for Brain Research, 1105 AZ Amsterdam Email: schierwa@informatik.uni-leipzig.de Abstract. Morphological data on two classes of superior colliculus (SC) neu-rons have quantitatively been analyzed for dendritic shape parameters. Their frequency distributions were used to optimize the parameters of a dendritic growth model which describes dendritic morphology by a stochastic growth process of segment branching and elongation. Model-generated trees have shape properties closely matching the observed ones. The dendritic trees of each of the two classes of SC neurons are represented by a specific set of growth model parameters, thus achieving morphological data compression.

Andreas Schierwagen | Jaap van Pelt

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