Shared Response Model

Library for Shared Response Model, related methods and experiment pipeline

Developed by Cameron PH Chen @ Princeton (https://cameronphchen.github.io)

If you use this code or SRM in scientific publication, citing the following paper is appreciated:

A Reduced-Dimension fMRI Shared Response Model

Po-Hsuan Chen, Janice Chen, Yaara Yeshurun, Uri Hasson, James V. Haxby, Peter J. Ramadge Advances in Neural Information Processing Systems (NIPS), 2015. Preprint

Bibtex:

@inproceedings{phchen2015srm,
  title={A Reduced-Dimension f{MRI} Shared Response Model},
  author={Chen, Po-Hsuan and Chen, Janice and Yeshurun, Yaara and Hasson, Uri and Haxby, James V. and Ramadge, Peter J. },
  year={2015},
  booktitle={Advances in Neural Information Processing Systems (NIPS) },
}

Please refer to code/readme.txt for procedure to replicate NIPS results

Code Structure:

1. SRM/code:

• alignment_algo : alignmetn algorithms
• experiments : experiments, called by run_exp*.py
• plot : pipelines for aggregating results and generating figures
• preprocessing : preprocessing procedure for each dataset
• sh_script : shell script for running experiments in batch
• test : testing
• transform_matrix : code to match up the testing subject after having template
• run_exp_imgtrn_mysseg.py : experiment code for training on image testing on mystery segment
• run_exp_noLR_idvclas.py : experiment code for group classification
• run_exp_noLR.py : experiment code for image prediction and myster segment identification without seperating left and right hemisphere
• run_exp.py : experiment code for image prediction and myster segment identification seperating left and right hemisphere

2. SRM/data:

• In data folder, there should be data/input, data/working, data/output