title: Kernel-based topographic map formation by local density modeling.
abstract: We introduce a new learning algorithm for kernel-based topographic map formation. The algorithm generates a gaussian mixture density model by individually adapting the gaussian kernels' centers and radii to the assumed gaussian local input densities.
authors.affiliation: K. U. Leuven, Laboratorium voor Neuro- en Psychofysiologie, Leuven, Belgium. marc@neuro.kuleuven.ac.be
authors.forename: Marc M
authors.initials: MM
authors.lastname: Van Hulle
mesh_terms: D000465:Algorithms; D001931:Brain Mapping / Q000379:methods*; D016571:Neural Networks, Computer; D016011:Normal Distribution