Computational Models of Human Social Behavior and Neuroscience¶

Citation

If you use these materials for teaching or research, please use the following citation: Rhoads, S. A. & Gan, L. (2022). Computational models of human social behavior and neuroscience: An open educational course and Jupyter Book to advance computational training. Journal of Open Source Education, 5(47), 146. https://doi.org/10.21105/jose.00146

📝 Course information¶

Section: PSYC 347-01
Prerequisites: PSYC 002 - Research Methods and Statistics (or equivalent); No prior programming experience necessary
Required materials: Only a working laptop/computer is needed! Book chapters, journal articles, and software are openly available to all students (no purchase required)
Dates: January 28 - May 6, 2021
Meetings: Tuesdays and Thursdays from 11am-12:15pm
Location: Online
Syllabus: Found here
Schedule: Found here

👨‍🏫 Instructor information¶

Instructor: Shawn A Rhoads
Pronouns: he/him/his
Email: sr1209(at)georgetown(dot)edu
Twitter: @ShawnRhoads56
Website: shawnrhoads.github.io

Other instructors are encouraged to adopt, remix, transform, and/or build upon the following materials for educational purposes under a Creative Commons Attribution-ShareAlike 4.0 International License. Information for instructors can be found in the README documentation.

🏋️ Tutorials & Exercises¶

Module 01 - Scientific Python¶

	Run	View
Tutorial: Jupyter Notebooks
Tutorial: Python Basics
Tutorial: Working with Data
Exercise

Module 02 - Introduction to Modeling¶

	Run	View
Tutorial: Linear Modeling
Tutorial: Nonlinear Modeling
Exercise

Module 03 - Reinforcement Learning¶

	Run	View
Tutorial: Two-Armed Bandits
Tutorial: Models of Learning
Exercise

🙏 Acknowledgments¶

I am grateful to Dr. Deborah Sterns, Joscelin Rocha-Hidalgo, and the Georgetown Center for New Designs in Learning & Scholarship (CNDLS) for allowing me to use their teaching resources throughout the development of this course. I am also grateful to Project Jupyter for making it possible to create and share these materials in a Jupyter Book. I am also grateful to Lin Gan for her contributions and feedback in making enhancements to these materials. The format of this course was largely inspired by the MIND Computational Summer School, Neuromatch Academy, Dr. Maximilian Risenhuber’s Computational Neuroscience course, Dr. Robert C. Wilson’s Modeling the Mind course, Dr. Luke J. Chang’s DartBrains Jupyter Book, the research conducted in Dr. Abigail A. Marsh’s Laboratory on Social and Affective Neuroscience, and the countless conversations with my colleagues about the selected topics.

🤝 Contributing¶

Please visit this page if you would like to help improve and/or expand the content in this Jupyter Book!

✨ Contributors¶

_{Shawn A Rhoads 🎨 🔣 📖 🖋 💻 🤔 🚇 🚧 👀 ✅}	_{Lin Gan 🖋 💻 👀}

The above follows the all-contributors specification (see emoji key).

🎫 License for this book¶

Content in this book (i.e., any .md or .ipynb files in the content/ folder) is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Computational Models of Human Social Behavior and Neuroscience

Contents