A Competitive-Layer Model for Feature Binding and Sensory Segmentation

Abstract

We present a recurrent neural network for feature binding and sensory segmentation: the competitive-layer model (CLM). The CLM uses topographically structured competitive and cooperative interactions in a layered network to partition a set of input features into salient groups. The dynamics is formulated within a standard additive recurrent network with… (More)
DOI: 10.1162/089976601300014574

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