Resource

We share data and code to support open science. 

  1. Variational auto-encoder for representation learning of resting state fMRI (Kim et al., NeuroImage, 2021)
  2. Mapping cortical representations of semantic categories and relations (Zhang et al., Nature Communications, 2020) (data)
  3. Predictive coding network with local recurrent processing (Han et al., NeurIPS, 2018)
  4. Predictive coding network with global recurrent processing (Wen et al., ICML, 2018)
  5. MRI assessment of stomach emptying and motility given VNS (Lu et al., NGM, 2018)
  6. Image analysis of contrast enhanced gastrointestinal MRI (Lu et al., TBME, 2017)
  7. Irregular Resampling Auto-Spectral Analysis (IRASA) of neural signals (Wen and Liu, Brain Topography, 2016)
  8. Encoding & decoding of fMRI responses to natural videos (Wen et al., Cerebral Cortex, 2018)
  9. Human fMRI during “the Good, the Bad, and the Ugly” (Marussich et al., NeuroImage, 2017)
  10. Human fMRI during musical perception and imagery (Zhang et al., Scientific Reports, 2017)
  11. EEG-fMRI signal processing toolbox (Liu et al., NeuroImage, 2012)