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  1. No Access

    Chapter and Conference Paper

    SOM-Model for the development of oriented receptive fields and orientation maps from non-oriented ON-center OFF-center inputs

    We investigate the development of oriented receptive fields and an orientation map in a SOM-model which is driven by rotationally symmetric stimuli in ON-center and OFF-center input layers. To this end we use ...

    D. Brockmann, H. -U. Bauer, M. Riesenhuber… in Artificial Neural Networks — ICANN'97 (1997)

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    Article

    Analyzing phase transitions in high-dimensional self-organizing maps

    The self-organizing map (SOM), a widely used algorithm for the unsupervised learning of neural maps, can be formulated in a low-dimensional ‘feature map’ variant which requires prespecified parameters (‘featur...

    M. Riesenhuber, H.-U. Bauer, T. Geisel in Biological Cybernetics (1996)