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  1. No Access

    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)

  2. No Access

    Article

    Uncovering the synchronization dynamics from correlated neuronal activity quantifies assembly formation

    Synchronous network excitation is believed to play an outstanding role in neuronal information processing. Due to the stochastic nature of the contributing neurons, however, those synchronized states are diffi...

    J. Deppisch, K. Pawelzik, T. Geisel in Biological Cybernetics (1994)

  3. No Access

    Article

    Formation of field discontinuities and islands in visual cortical maps

    The representations of visual hemifields in the extrastriate areas of various species exhibit field discontinuities and islands. We propose that these violations of retinotopy are a developmental consequence o...

    F. Wolf, H.-U. Bauer, T. Geisel in Biological Cybernetics (1994)