On Firing Rate Estimation for Dependent Interspike Intervals

@article{Benedetto2015OnFR,
  title={On Firing Rate Estimation for Dependent Interspike Intervals},
  author={Elisa Benedetto and Federico Polito and Laura Sacerdote},
  journal={Neural Computation},
  year={2015},
  volume={27},
  pages={699-724}
}
Abstract If interspike intervals are dependent, the instantaneous firing rate does not catch important features of spike trains. In this case, the conditional instantaneous rate plays the role of the instantaneous firing rate for the case of samples of independent interspike intervals. If the conditional distribution of the interspikes intervals (ISIs) is unknown, it becomes difficult to evaluate the conditional firing rate. We propose a nonparametric estimator for the conditional instantaneous… 
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4 Citations
Background Citations
2
Methods Citations
1

4 Citations

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The main topic of this thesis is to specialize mathematical methods and construct stochastic models for describing and predict biological dynamics such as neuronal firing and acto-myosin sliding. …
Minimum divergence estimators for the Radon–Nikodym derivatives of the semi-Markov kernel
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