Julia code used to solve homework problems in Statistical Neuroscience course (NEUR2110) at Brown University.
The course uses MATLAB and Python as the primary languages. There is MATLAB warm-up code available from https://github.com/Mark-Kramer/Case-Studies-Kramer-Eden. In this repository we attempt to solve the problems using as much pure Julia as possible. We recognize that Julia is still a young language and hope this material will highlight the strenghts and areas of improvement when using Julia for statistical neuroscience.
Each homework is organized in its corresponding folder. Common code is organized as a library
As highlighted by Julia Computing:
"Julia is the fastest modern open-source language for data science, machine learning and scientific computing. Julia provides the functionality, ease-of-use and intuitive syntax of R, Python, Matlab, SAS or Stata combined with the speed, capacity and performance of C, C++ or Java."