Open access code and datasets

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• Model code for SAMPL (Spreading Activation and Memory PLasticity model)
  SAMPL CODE on GitHub
  Sievers B, Momennejad I (2019) SAMPL: Spearing Activation and Memory Plasticity Model. [ bioRxiv preprint ]
  
   

• My tutorials on model-free RL, successor representation, and SR-Dyna at MIND2019
  https://github.com/idamomen/MIND2019_IM_RL_SR
   

• The fMRI data for the following paper is available on openneuro.org:
  
  Momennejad I, Otto RA, Daw N, Norman KA (2018) Offline replay supports planning in human reinforcement learning. eLife 2018;7:e32548. [ eLife link ]
  
  Data: https://openneuro.org/datasets/ds001612/versions/1.0.2
  Dataset DOI: 10.18112/openneuro.ds001612.v1.0.1
   

• My python tutorials, comparing how SR & SR-Dyna learn predictive representations, on github:
  
  Predictive representations tutorial
   

• The matlab code for the modeling work in the following paper is available on github:
  
  Russek E*, Momennejad I*,  Botvinick MM, Gershman SJ, Daw N (2017) Predictive representations can link model-based reinforcement learning to model-free mechanisms. Plos Comp Biol [ Journal link ]  
  
  github scripts: CODE

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