We propose a self organizing map (SOM) for sequences by extending standard SOM by two features, the recursive update of Sper-duti and the hyperbolic neighborhood of Ritter. While the former integrates the currently presented item and recent map activations, the latter allows representation of temporally possibly exponentially growing sequence diversification. Discrete and real-valued sequences can be processed efficiently with this method as demonstrated in three experiments.
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