ncpi is a Python package for model-based inference of neural circuit parameters from
population-level electrophysiological recordings, such as LFP, ECoG, MEG, and EEG.
ncpi provides a rapid, reproducible, and robust framework for estimating the most
probable neural circuit parameters associated with an empirical observation, streamlining
traditionally complex workflows into a minimal amount of code.
Check out the Getting started with ncpi tutorial
to see how ncpi can accelerate your research and unlock the full
potential of model-based neural inference.