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.



B.S., Nankai University, Tianjin, China

Ph.D., University of North Carolina, Chapel Hill

Current Research Interests

Object Oriented Data Analysis

Spatial Statistics

Information Fusion

Statistical Analysis on Networks

Computational Neuroscience

Contact Information

216 Statistics Building
Department of Statistics
Colorado State University
Fort Collins, CO80523

Voice: 970-491-2449

Acknowlegement of Support

My research has been supported by NSF grants DMS-0706761, DMS-0854903, DMS-1106975, DMS-1521746 and DMS-1737795 as well as grants with other collaborators.