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E/sub L/I-chan for intermediate features

We propose E/sub L/I-chan, an emergent local indicator mechanism, to model the representation and self-organization of intermediate features in the visual pathway. This model is motivated by the orientation specificity in the primary visual cortex. Our simulations of E/sub L/I-chan demonstrate that local indicators of the locations of intermediate features emerge, and they become the seeds for unsupervised learning and pattern recognition; E/sub L/I-chan predicts those portions of the input imagery where intermediate features potentially exist. Hence, E/sub L/I-chan can be used to define a set of intermediate features for adaptation, and the onwards processing in a hierarchical pattern recognition system.