ncpi: neural circuit parameter inference

• 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.

Installation

ncpi requires Python 3.10 or higher. To install ncpi, you can use pip. The package is available on PyPI, so you can install it directly from there.

        # Step 1: Create and activate a conda environment (recommended)
        conda create -n ncpi-env python=3.10 -y
        conda activate ncpi-env

        # Step 2: Install ncpi using pip
        pip install ncpi