Machine Learning and fMRI
Date:
Introductory talk to machine learning (ML) for neuroimagers. Here I introduce basic concepts such as supervised and unsupervised learning, regression, classification, gradient descent, overfitting and testing. I next discuss a few examples of how ML can be applied to functional neuroimaing data.
| Recording | Slides |