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.

Contributiors:

• Abel Sagodi: python implementations

Related lectures

• 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/