Process and Analysis of Cognitive SEEG(PACS)

Introduction

Process and Analysis of Cognitive SEEG(PACS) is a Python-based software aiming to do the pre-processing and analysis of stereo-EEG(SEEG) in neuroscience. It supports four main functions: SEEG data import and export, Process of Raw class data, Analysis of Epoch class data, 3D visualization of brain templates and SEEG electrodes.

Features

• Language: Python
• OS: Windows, Linux, MacOS

Installation Guidance

• Firstly, git clone the repository to your local device.

• Secondly, create a python environment, conda is recommended here. You could just type

  conda create -n SEEG python=3.7  
  

• Thirdly, use

  pip install -r requirements.txt
  

  to install all the dependencies needed.