Testing the odds of inherent vs. observed overdispersion in neural spike counts.

@article{Taouali2016TestingTO,
  title={Testing the odds of inherent vs. observed overdispersion in neural spike counts.},
  author={Wahiba Taouali and Giacomo Benvenuti and Pascal Wallisch and Fr{\'e}d{\'e}ric Chavane and Laurent Udo Perrinet},
  journal={Journal of neurophysiology},
  year={2016},
  volume={115 1},
  pages={
          434-44
        }
}
The repeated presentation of an identical visual stimulus in the receptive field of a neuron may evoke different spiking patterns at each trial. Probabilistic methods are essential to understand the functional role of this variance within the neural activity. In that case, a Poisson process is the most common model of trial-to-trial variability. For a Poisson process, the variance of the spike count is constrained to be equal to the mean, irrespective of the duration of measurements. Numerous… 

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