• Published 2007

Statistical analysis of neural data : Generalized linear models for spike trains

@inproceedings{Paninski2007StatisticalAO,
  title={Statistical analysis of neural data : Generalized linear models for spike trains},
  author={Liam Paninski},
  year={2007}
}

• Liam Paninski

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2 Estimation of time-varying firing rates 6 2.1 The simplest histogram binning approach can be interpreted in the context of the Poisson regression model . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 2.2 Local likelihood and kernel smoothing . . . . . . . . . . . . . . . . . . . . . . 7 2.3 Representing time-varying firing rates in terms of a weighted sum of basis functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8