English phonotactic learning is modeled by means of the PHACTS algorithm, a topo- logical neuronal receptive field implement- ing a phonotactic activation function aimed at capturing both local (i.e., phonemic) and global (i.e., word-level) similarities among strings. Limits and merits of the model are presented.