The code for 2-step diffusion maps designed for 3D fMRI time series
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README.md

README.md

2sDM

This repository contains code for the paper

Hierarchical nonlinear embedding reveals brain states and performance differences during working memory tasks

CCN 2018

hcp_embedding

Dataset we used

  • Human connectome project (HCP) dataset
  • Philadelphia Neurodevelopmental Cohort (PNC) dataset

Citation

S. Gao, G. Mishne, D. Scheinost, “Hierarchical nonlinear embedding reveals brain states and performance differences during working memory tasks,” in Conference on Cognitive Computational Neuroscience (CCN), 2018, Philadelphia, Pennsylvania, USA, Sep 2018.

For any questions, please contact Siyuan Gao (siyuan.gao@yale.edu)