Neural maps and topographic vector quantization

@article{Bauer1999NeuralMA,
  title={Neural maps and topographic vector quantization},
  author={Hans-Ulrich Bauer and J. Michael Herrmann and Thomas Villmann},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={1999},
  volume={12 4-5},
  pages={
          659-676
        }
}
Neural maps combine the representation of data by codebook vectors, like a vector quantizer, with the property of topography, like a continuous function. While the quantization error is simple to compute and to compare between different maps, topography of a map is difficult to define and to quantify. Yet, topography of a neural map is an advantageous property, e.g. in the presence of noise in a transmission channel, in data visualization, and in numerous other applications. In this article we… CONTINUE READING
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