How to Contribute

We welcome contributions from students, postdocs, labs, and researchers at all levels! Joining this effort helps advance our understanding of predictive processing through collaborative, large-scale neuroscience.

Why Contribute?

Joining the OpenScope Community Predictive Processing project offers unique opportunities:

  • Collaborate on Large-Scale Science: Contribute to impactful research using unique, high-quality datasets.
  • Gain Expertise: Develop skills in advanced data analysis, open-source software development, and collaborative research practices.
  • Share Your Data: Increase the visibility and impact of your experimental work by having it analyzed within a broader context.
  • Earn Authorship: Receive fair credit for your contributions (data, analysis, code, writing) on resulting publications, following our Collaboration Policy.
  • Network: Connect with researchers and labs from diverse backgrounds.

We welcome contributions from students, postdocs, labs, and researchers at all levels!

Ways to Get Involved

🤝 Express Interest / Ask Questions

New to the project or have questions? Start here!

🧠 Contribute Experimental Data

Share your relevant experimental data with the community.

  1. Discuss First: Contact us via the Discussions forum before collecting/submitting data.
  2. Use the Experiment Template.
  3. Submit template via Pull Request.
  4. Coordinate data transfer.

💻 Contribute Code or Analysis

Help develop analysis pipelines, tools, or analyze data.

  1. Find/Create an Issue.
  2. Fork, Branch, Develop.
  3. Submit a Pull Request.
  4. Participate in code review.

📝 Improve Documentation

Help make our project clearer and more accessible.

  • Fix typos or unclear text.
  • Add missing information.
  • Submit an Issue or Pull Request.
  • Collaboration Policy: Our guide for teamwork and authorship.
  • Project Tracking: Overview of current projects and teams.
  • Communication: Be respectful and constructive in all communications.

Thank you for your interest in contributing!

💬 Start a discussion for this page on GitHub (A GitHub account is required to create or participate in discussions)