neuronsDG – Modelling neurons via dichotomized Gaussians

neuronsDG is an R/C++ package for simulating neurons, currently under development at Oviedo Lab. The package is built around the core object class neuron, a C++ class accessible through R via Rcpp modules and wrappers. This class is meant for modeling the spiking of single neurons with dichotomized Gaussians.

GitHub: https://github.com/michaelbarkasi/neuronsDG

Documentation: https://michaelbarkasi.github.io/neuronsDG/

Artistic overlay of spike trains with autocorrelation and a dichotomized Gaussian with covariance. This package uses the latter to generate simulations of the former.