BrainIAK Demo: MVPA and Advanced fMRI Analysis

[manojneuro]

Title
BrainIAK Demo: MVPA and Advanced fMRI Analysis

Presentor and Affiliation
Manoj Kumar (Princeton University)

Collaborators
@CameronTEllis, @qihongl, @hejiaz, @mihaic, Ted Willke, @PeterJRamadge, @nickturkbrowne, @kennethanorman

Github Link (if applicable)
https://brainiak.org/tutorials

Abstract (max. 200 words):
BrainIAK includes a range of cutting-edge techniques, including parallelized searchlight analysis, full correlation matrix analysis, inter subject correlations, inter subject functional correlations, shared response modelling, event segmentation using hidden Markov models, and the application of these techniques in real-time. During the demonstration, we will provide an overview of BrainIAK and have participants walk through, on their laptop/ipad browsers, one of our recently created tutorials on these methods using Google Colaboratory.

Preferred Session
Demo: New advances in open neuroimaging methods
Tuesday or Wednesday

Additional Context
Kumar, M., Ellis, C. T., Lu, Q., Zhang, H., Capota, M., Willke, T. L., … Norman, K. (2019). BrainIAK tutorials: user-friendly learning materials for advanced fMRI analysis. Retrieved from https://osf.io/j4sbc

[TimVanMourik]

Hi @manojneuro, I’m happy to tell you that we’d like to host your presentation as a lightning talk in the OSR in the Machine learning in Neuroscience session. This will be a talk of 5 minutes + 5 minutes of questions. We decided to rebrand one session of lightning talks to a machine learning theme as a result of many applications around this theme. We cannot give you a slot in your preferred session due to the very high number of applications.

We’ll update the program in the ReadMe.md shortly. We’d much appreciate it if you could submit slides and other presentation material to the presentations folder by means of a Pull Request to this repository, preferably but not necessarily before the presentation.