AFNI training Bootcamp
May 27-30, 2014

Presented by Bob Cox and the NIH AFNI team

What AFNI Is

AFNI is a set of C programs for processing, analyzing, and displaying anatomical and functional MRI (FMRI) data - techniques for non-invasive mapping of human brain structure and activity. The suite also contains tools for functional and anatomical (diffusion MRI) connectivity analyses. It runs on Unix+X11+Motif systems, including SGI, Solaris, Linux, and Mac OS X. It is available free (in C source code format, and some precompiled binaries) for research purposes.

Attendees will need to bring a laptop pre-loaded with a running copy of AFNI and the class data. Attendees will also need at least a basic knowledge of Unix commands.

Link to basic Unix Tutorial:

Link to instruction for AFNI bootcamp setup (installation and class data)

A final reminder to use the class setup link on the website which includes installation instructions for mac, linux and windows, as well as instructions for getting the class data (well, at least the former two; the windows setup comes with data to begin with). You will need to verify that AFNI is installed and running BEFORE arriving at bootcamp.

In order to obtain a basic check of AFNI, open a Terminal or X-Quartz/X-11 window. At the prompt, please enter:

afni_system_check.py -check_all

Open a browser window and go to http://www.haskins.yale.edu/afni/afni_check.php

You will be prompted to enter the email with which you registered and to cut and paste screen output from afni_system_check.
If you have problem executing the command such that no output is generated by afni_system_check, please post to the AFNI Message Board <http://afni.nimh.nih.gov/afni/community/board/list.php> or email Richard Reynolds

Target Audience

The course is aimed at people who are already doing fMRI, and it is not an introduction to how fMRI works -- it is an introduction to the use of AFNI for analysis of fMRI data. If you are not going to be doing fMRI data analysis in the very near future after this class, you will probably find the Bootcamp to be a waste of your (and our) efforts.

About Registration and Fees

Because the number of attendees must be limited to the size of the auditorium, please do not abuse us by registering unless you are sure you will come. In order to encourage you to consider carefully whether you will attend before registering, there will be a $25 non-refundable charge to hold your slot. For those who attend the conference this charge will be applied to a conference-related activity such as a group lunch or dinner. If for some reason you register but discover that you are unable to attend please email us.

  • Registration is for all interested researchers but preference will be given to researchers at Haskins, Yale, and the University of Connecticut
  • Updates
    For those who will register to attend, you will receive future emails to information you of updates to this page such as a Class Schedule, any updates to the class data, and information about local hotels and food venues.

    Further information and news will be posted on the Bootcamp Message Board, where you can also post queries.
  • Yale University
    Linsley Chittendon Hall,
    Room 101 63 High St, New Haven, CT.
 
The number of attendees must be limited to the size of the auditorium.
 

Contact & Registration

Yale University, Linsley Chittendon Hall
Room 101, 63 High St, New Haven, CT.
T. 1 203.865.6163

Area Hotels
5 Min walk to Bootcamp site

New Haven Hotel $129.00/night
229 George St.
New Haven 1800 644-6835

Omni New Haven Hotel at Yale $179.00/night
155 Temple St.
New Haven 203 772-6664

Marriot Courtyard at Yale $129.00/night
30 Whalley Ave.
New Haven, CT 203 777-6221

15-20 Min walk to Bootcamp site

La Quinta Inn & Suites New Haven $109.00/night
400 Sargent Dr..
New Haven, CT 203 562-1111

Registration Form

For those already with basic
AFNI proficiency only:

Please indicate software you have used previously

Registering will take you to Paypal where you can either use your Paypal account or a credit card.

 
Haskins LogoYale University