Abstract
In the literature on topographic models of cortical organization, Kohonen’s self-organizing map is often treated as a computational short-cut version of a more detailed biological architecture, in which competition in the map is regulated by excitatory and inhibitory lateral interactions. A novel lateral interaction model will be presented here, whose investigation will show: first, that the behavior of the two models is not identical; and second, that the lateral interaction architecture behaves similarly to non-topographic algorithms, constructing representations of the input at intermediate levels of detail in the initial phases of training. This observation supports a novel interpretation of the topographic organization of the cerebral cortex.
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© 2002 Springer-Verlag Berlin Heidelberg
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Viviani, R. (2002). Lateral Interactions in Self-Organizing Maps. In: Dorronsoro, J.R. (eds) Artificial Neural Networks — ICANN 2002. ICANN 2002. Lecture Notes in Computer Science, vol 2415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46084-5_149
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DOI: https://doi.org/10.1007/3-540-46084-5_149
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