PSYC 347 - Computational Models of Human Social Behavior (and Neuroscience)
I designed and taught PSYC 347 - Computational Models of Human Social Behavior (and Neuroscience) during the spring of 2021.
Information about the course materials and accompanying Jupyter Book can be found in the following publication:
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.
Neuromatch Academy in Computational Neuroscience
I served as a teaching assistant for Neuromatch Academy during the summer 2020
Course content and tutorials can be found here
Introduction to BIDS
Material from my talk on BIDS format for functional MRI data at Brainhack DC 2020
NSCI 526 - Computational Neuroscience (Fall 2019)
Instructor: Dr. Max Risenhuber
Tutorials I created as the Teaching Assistant for the Computational Neuroscience graduate course at
Introduction to Python for Neuroimagers
Materials from my tutorial at Brainhack DC 2019