This lecture covers the application of diffusion MRI for clinical and preclinical studies.

This tutorial introduces pipelines and methods to compute brain connectomes from fMRI data. With corresponding code and repositories, participants can follow along and learn how to programmatically preprocess, curate, and analyze functional and structural brain data to produce connectivity matrices. 

While the previous lesson in the Neuro4ML course dealt with the mechanisms involved in individual synapses, this lesson discusses how synapses and their neurons' firing patterns may change over time. 

In this lesson, you will learn about how machine learners and computational neuroscientists design and build models of neuronal synapses. 

How does the brain learn? This lecture discusses the roles of development and adult plasticity in shaping functional connectivity.

This lesson goes into the mechanisms behind changes in synaptic function created by learning.