NEMS – The Neural Encoding Model System

NEMS is the Neural Encoding Model System. It is helpful for fitting a mathematical model to time series data, plotting the model predictions, and comparing the predictive accuracy of multiple models. We use it to develop and test computational models of how sound is encoded in the brains of behaving mammals, but it will work with many different types of timeseries data.

Documentation for the previous iteration of NEMS can be found at https://nems0.readthedocs.io