Eye-Tracking Analysis

This repository contains a collection of Python scripts, which analyze the eye-tracking data of our fMRI experiments.

Disclaimer 1: The code is very specific to our use case and may need substantial changes to work with other setups. Disclaimer 2: I am not a Python programmer. I'm always grateful for feedback on how to improve my code.

Setup

The project should run in any Python 3.6 environment. It was developed with the PyCharms IDE.

Required File Names

• All files are in the /data_raw directory
• EyeLink eye-tracking log: *participant_id*.asc
• [Optional] Response: *participant_id*_response.log
• [Optional] Physio: *participant_id*_physio.log

Work Flow

Before starting the Python script, prepare the data.

• Get .edf log file from EyeLink
• Convert .edf file to an ASCII-file .asc with EyeLink's edf2asc-Tool.
• Move .asc file to the project's /data_raw folder
• [Optional] Add physio and response log files according to the conventions above

Next, you can either run individual analyses or the whole pipeline via RunPipeline.py.

Related Repositories

• EyeLink Ogama Connector
• Eye-Tracking Visualization Pipeline

License

MIT License

Copyright (c) 2018 Norman Peitek