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. © Springer-Verlag Berlin Heidelberg 2002.
CITATION STYLE
Viviani, R. (2002). Lateral interactions in Self-Organizing Maps. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2415 LNCS, pp. 920–926). Springer Verlag. https://doi.org/10.1007/3-540-46084-5_149
Mendeley helps you to discover research relevant for your work.