Functional Dynamic Modeling of Neuron Activities
Sienkiewicz, E., Song, D., Breidt, F.J. and Wang, H. (2016). Sparse functional dynamical models --- a Big Data Approach.
R packages:
- Big Data: Maximum Likelihood Estimate and Regularized MLE for Generalized Linear Models bdglm.
- Big Data: Functional Dynamic Multiple-Input Single-Output Models for Neural Spikes bdmiso, installation instructions.
Song, D., Wang, H., Tu, C.Y., Marmarelis, V.Z., Hampson, R.E., Deadwyler, S.A. and Berger, T.W. (2013). Identification of sparse neural functional connectivity using penalized likelihood estimation and basis functions. Journal of Computational Neuroscience, 35, 335-357.