Abstract:We present a novel network of oscillatory units, whose behavior is described by the amplitude and phase of oscillations. We derive the network dynamics from an objective function that rewards both the faithfulness and the sparseness of representation. The resulting network architecture is simple, and the dynamics are straightforward to interpret. This network functions in an unsupervised manner, and is able to form unique representations for a set of inputs. Once the set of inputs is learnt, the network can de… Show more
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