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Teaching material for "Introduction to temporal neural data analysis"

MATLAB 0.68% TeX 8.28% Python 0.22% Jupyter Notebook 90.82%
neuroscience time-series autoregressive-model

temporal-neural-data-lectures's Introduction

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/

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