Basics

Computational Neuroscience and general skills

• Neuromatch Academy: Computational Neuroscience.
• What is computational neuroscience? Written by the Rajan Lab.

Dimensionality reduction:

• Interactive tutorial on PCA
• Stack Exchange explanation of PCA

Multiple hypothesis testing:

• Brief explanation using R

Linear Algebra:

• Introduction to eigenvectors and eigenvalues.
• A nice twitter thread on interpreting matrix factorizations, and associated webpage unrolling the tweets.

Plotting:

• Visual vocabulary
• Data visualization rules

Time-series Analysis:

• Takens Embedding
• Fourier analysis
• The Fourier transform

Learning brain anatomy:

• Interactive guide to brain regions and their function is in the Virtual Brain Atlas.

In-person training

• Free training courses run by Sydney Informatics Hub, NSW.
• Graduate research students should attend Research Bazaar, ResBaz for basic training in modern research methods.