This lesson gives an introduction to the central concepts of machine learning, and how they can be applied in Python using the scikit-learn package.
This tutorial provides instruction on how to interact with and leverage Python packages to get the most out of Python's suite of available tools for the manipulation, management, analysis, and visualization of neuroscientific data.
In this tutorial, you will learn how to run a typical TVB simulation.
This tutorial introduces The Virtual Mouse Brain (TVMB), walking users through the necessary steps for performing simulation operations on animal brain data.
In this tutorial, you will learn the necessary steps in modeling the brain of one of the most commonly studied animals among non-human primates, the macaque.
This lecture provides an introduction to entropy in general, and multi-scale entropy (MSE) in particular, highlighting the potential clinical applications of the latter.
In this lecture, you will learn about various neuroinformatic resources which allow for 3D reconstruction of brain models.