Construction and analysis of non-Poisson stimulus-response models of neural spiking activity.

@article{Barbieri2001ConstructionAA,
  title={Construction and analysis of non-Poisson stimulus-response models of neural spiking activity.},
  author={Riccardo Barbieri and Michael C. Quirk and Loren M. Frank and Matthew A. Wilson and Emery N. Brown},
  journal={Journal of neuroscience methods},
  year={2001},
  volume={105 1},
  pages={25-37}
}
A paradigm for constructing and analyzing non-Poisson stimulus-response models of neural spike train activity is presented. Inhomogeneous gamma (IG) and inverse Gaussian (IIG) probability models are constructed by generalizing the derivation of the inhomogeneous Poisson (IP) model from the exponential probability density. The resultant spike train models have Markov dependence. Quantile-quantile (Q-Q) plots and Kolmogorov-Smirnov (K-S) plots are developed based on the rate-rescaling theorem to… CONTINUE READING
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