MNE Receptive Field Models for LNP Neurons

This notebook demonstrates maximum noise entropy (MNE) model fitting, and compares MNE model output with a (whitened) spike-triggered average (STA) model. It uses the output of synthetic, Linear-Nonlinear Poisson (LNP) neurons stimulated with simply correlated noise as a data source.

Inspiration/code from:

1. "Analysis of Neuronal Spike Trains, Deconstructed", by J. Aljadeff, B.J. Lansdell, A.L. Fairhall and D. Kleinfeld (2016) Neuron, 91 http://dx.doi.org/10.1016/j.neuron.2016.05.039
2. Sharpee Lab code (find/add citation)

TODO: add more inline annotation and consistent labeling

SLH 2017