Object selection based on oscillatory correlation

@article{Wang1999ObjectSB,
  title={Object selection based on oscillatory correlation},
  author={DeLiang Wang},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={1999},
  volume={12 4-5},
  pages={
          579-592
        }
}
One of the classical topics in neural networks is winner-take-all (WTA), which has been widely used in unsupervised (competitive) learning, cortical processing, and attentional control. Owing to global connectivity, WTA networks, however, do not encode spatial relations in the input, and thus cannot support sensory and perceptual processing where spatial relations are important. We propose a new architecture that maintains spatial relations between input features. This selection network builds… CONTINUE READING
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