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Erschienen in:
1998 | OriginalPaper | Buchkapitel
Classification of 3-D Dendritic Spines using Self-Organizing Maps
verfasst von : G. Sommerkorn, U. Seiffert, D. Surmeli, A. Herzog, B. Michaelis, K. Braun
Erschienen in: Artificial Neural Nets and Genetic Algorithms
Verlag: Springer Vienna
Enthalten in: Professional Book Archive
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This work in progress shows a method for classifying dendritic spines by their shape. Focal points are the extraction of features from three-dimensional spine data and the following classification of the spines. Hence there will be only little reflection of biological aspects of this problem. Feature extraction based on moments and spherical coordinates will be discussed. Furthermore, this paper shows and describes a modified kind of self organizing maps (SOM)), which is used for the classification of the dendritic spines.