Reassessing optimal neural population codes with neurometric functions.

@article{Berens2011ReassessingON,
  title={Reassessing optimal neural population codes with neurometric functions.},
  author={Philipp Berens and Alexander S. Ecker and Sebastian Gerwinn and Andreas S. Tolias and Matthias Bethge},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  year={2011},
  volume={108 11},
  pages={4423-8}
}
Cortical circuits perform the computations underlying rapid perceptual decisions within a few dozen milliseconds with each neuron emitting only a few spikes. Under these conditions, the theoretical analysis of neural population codes is challenging, as the most commonly used theoretical tool--Fisher information--can lead to erroneous conclusions about the optimality of different coding schemes. Here we revisit the effect of tuning function width and correlation structure on neural population… CONTINUE READING
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