Here are some teaching resources created by Dr. Park and the CATNIP lab.
Machine learning for neuroscience, a Cajal course (2023)
Linear Dynamical System for Neuroscience
- Target audience: Graduate students in Neuroscience with basic algebra and vector space background
- lecture material, notes, and code
Neural Latent State and Dynamics Inference Workshop
- Target audience: neuroscientists with computational/statistical interest
- python notebooks
Temporal Neural Data Analysis
- Target audience: Graduate students in Neuroscience with basic probabilty and statistics background
- Worksheet and code
Generalized Linear Model Outro
- Target audience: NMA participants who have gone through the intro and tutorial
- Neuroacademy lecture outro:
Recorded lecture: Principles of Neural Coding
- Target audience: introductory graduate level course in neuroscience
Introduction to Neural Computation (2020-2022)
- Target audience: Interdisciplinary undergraduates
- Co-designed with Braden Brinkman
- Syllabus 2021
- Final consciousness debate 2021: