Neuroscience resources

This repository consists of a series of free resources aimed at Neuroscience PhD students and postdocs. The idea is to list different sources of content comprehending coding, modelling, basic neuroscience, etc.

It is, however, still a work in progress and contributions are very welcome. So feel free to open pull requests here.

Books

Computing

R

• R for Data Science
• R Markdown: The Definitive Guide
• ggplot2: Elegant Graphics for Data Analysis
• Data Visualization: A practical introduction
• Fundamentals of Data Visualization

Modelling

• Elements of Statistical Modeling for Experimental Biology
• Beyond Multiple Linear Regression
• Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
• Tidy Modeling with R
• PSY317L Guidebook
• One Way ANOVA with R
• Lightweight Machine Learning Classics with R

Courses/Worshops

• Computational Psychiatry Course 2019
• 2020 FSL Course
• NeuromatchAcademy
• Introduction to Computational Thinking - MIT 18.S191 aka 6.S083 aka 22.S092, Fall 2020

Tutorials

• Visualizations
• Common statistical tests are linear models

Twitter threads

• Data visualisation thread

Datasets

• HBN dataset

Citation

BibTeX citation:

@online{frança2022,
  author = {França, Lucas},
  title = {Neuroscience Resources},
  date = {2022-03-03},
  url = {https://lfranca.uk/posts/2021-03-09-neuroscience-resources/},
  langid = {en}
}

For attribution, please cite this work as:

França, Lucas. 2022. “Neuroscience Resources.” March 3, 2022. https://lfranca.uk/posts/2021-03-09-neuroscience-resources/.