BrainIAK at OHBM 2018

BrainIAK Posters

2020: BrainIAK Tutorials: User-friendly tutorials for cutting-edge MVPA methods

Manoj Kumar, Cameron T. Ellis, Nicholas B. Turk-Browne, Peter J. Ramadge, Kenneth A. Norman
contact (pdf, example)

2023: Enabling large-scale fMRI analysis with BrainIAK

Mihai Capotă, Daniel Suo, Theodore Willke, Kenneth Norman, Nicholas Turk-Browne, Kai Li, Jonathan Cohen
contact (pdf, example)

2045: Distributed deadline computing for real-time brain imaging analysis

Daniel C. Suo, J. Benjamin Hutchinson, Megan T. DeBettencourt, Anne C. Mennen, Yida Wang, Theodore L. Willke, Nicholas B. Turk-Browne, Kenneth A. Norman, Jonathan D. Cohen, Kai Li
contact (pdf, example)

2535: Matrix-normal models for fMRI analysis

Michael Shvartsman, Mikio C. Aoi, Narayanan Sundaram, Adam Charles, Theodore L. Willke, Jonathan D. Cohen
contact (pdf, paper)

2858: Using Closed-Loop Real-Time fMRI Neurofeedback to Induce Neural Plasticity and Influence Perceived Similarity

Marius Cătălin Iordan, Victoria J.H. Ritvo, Kenneth A. Norman, Nicholas B. Turk-Browne, Jonathan D. Cohen
contact (pdf)

BrainIAK Installation

BrainIAK is a Python package for high-performance neuroimaging analysis. The above posters associated with the BrainIAK project will appear at OHBM 2018 along with several code examples. The easiest way to get started with the examples is via conda install.

Please contact us if you need help.