Classification using UMAP and kmeans

Estimate optimal bandwidth parameter for spike train smoothing using MLE leave-one-out cross-validation.

Estimate the bandwidth parameter for smoothing spike-train data.

Code implements the LN model used to describe spike trains of MEC neurons based on the animal's position, head direction, speed, and theta phase information. Used in Hardcastle et al., 2017.

Produces a model of the relationship between an extrinisic observable signal and an intrinsic covarying spike train

determining whether firing rate is modulated by light/dark conditions