Teaching material for "Introduction to temporal structures in neural data" by Il Memming Park.
- It's written for graduate students with broad background.
- It assumes basic statistics and probability knowledge including random variables, expectations, and law of large numbers.
- Abel Sagodi: python implementations
- Computational & Cognitive Neuroscience Summer School (CCNSS) (2024)
- Cajal Course on Machine Learning for Neuroscience (2023)
- INDP lecture at Champalimaud Research (2023)
- NeuroMatch Academy (NMA) GLM module (2020)
- BNB 567 at Stony Brook University (2019-2021)
License: CC-BY 4.0 https://creativecommons.org/licenses/by/4.0/