Decoding cortical neuronal signals: Network models, information estimation and spatial tuning

@article{Kjr1994DecodingCN,
  title={Decoding cortical neuronal signals: Network models, information estimation and spatial tuning},
  author={Troels W. Kj{\ae}r and John A. Hertz and Barry J. Richmond},
  journal={Journal of Computational Neuroscience},
  year={1994},
  volume={1},
  pages={109-139}
}
We have studied the encoding of spatial pattern information by complex cells in the primary visual cortex of awake monkeys. Three models for the conditional probabilities of different stimuli, given the neuronal response, were fit and compared using cross-validation. For our data, a feed-forward neural network proved to be the best of these models. The information carried by a cell about a stimulus set can be calculated from the estimated conditional probabilities. We performed a spatial… CONTINUE READING

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