Spatio-chromatic information available from different neural layers via Gaussianization

@article{Malo2020SpatiochromaticIA,
  title={Spatio-chromatic information available from different neural layers via Gaussianization},
  author={J. Malo},
  journal={Journal of Mathematical Neuroscience},
  year={2020},
  volume={10}
}
  • J. Malo
  • Published 2020
  • Computer Science, Medicine, Biology
  • Journal of Mathematical Neuroscience
How much visual information about the retinal images can be extracted from the different layers of the visual pathway? This question depends on the complexity of the visual input, the set of transforms applied to this multivariate input, and the noise of the sensors in the considered layer. Separate subsystems (e.g. opponent channels, spatial filters, nonlinearities of the texture sensors) have been suggested to be organized for optimal information transmission. However, the efficiency of these… Expand
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