Low error discrimination using a correlated population code.

@article{Schwartz2012LowED,
  title={Low error discrimination using a correlated population code.},
  author={Greg Schwartz and Jakob H. Macke and Dario Amodei and Hanlin Tang and Michael J. Berry},
  journal={Journal of neurophysiology},
  year={2012},
  volume={108 4},
  pages={
          1069-88
        }
}
We explored the manner in which spatial information is encoded by retinal ganglion cell populations. We flashed a set of 36 shape stimuli onto the tiger salamander retina and used different decoding algorithms to read out information from a population of 162 ganglion cells. We compared the discrimination performance of linear decoders, which ignore correlation induced by common stimulation, with nonlinear decoders, which can accurately model these correlations. Similar to previous studies… 
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