RES.9-006 | Spring 2018 | Non-Credit

AFNI Training Bootcamp

Course Description

This training course is an introduction to the use of the AFNI software suites for the analysis of functional MRI (fMRI) data. It is not intended as an introduction to how fMRI works but is aimed at people who are already doing fMRI data analysis, or those who will be in the near future. 

AFNI (Analysis of Functional …

This training course is an introduction to the use of the AFNI software suites for the analysis of functional MRI (fMRI) data. It is not intended as an introduction to how fMRI works but is aimed at people who are already doing fMRI data analysis, or those who will be in the near future. 

AFNI (Analysis of Functional NeuroImages) is a leading software suite of C, Python, and R programs and shell scripts, primarily developed for the analysis and display of anatomical and fMRI data. It is freely available for research purposes. 

This event was organized by the Center for Brains, Minds, and Machines (CBMM) Trainee Leadership Council.

CBMM is a multi-institutional NSF Science and Technology Center headquartered at MIT that is dedicated to developing a computationally based understanding of human intelligence and establishing an engineering practice based on that understanding. CBMM brings together computer scientists, cognitive scientists, and neuroscientists to create a new field—the science and engineering of intelligence.

Learning Resource Types
Workshop Videos
Lecture Videos
Multi-color images of two slices of the human brain.
Researchers are able to combine human brain imaging techniques to better characterize how activity in the brain relates to specific functions. The side-by-side images of the brain show activity in relation to the consumption of glucose, which could be useful in understanding how the brain uses energy both in health and disease. (Image is in the public domain. Source: NIH Image Gallery on Flickr.)