Reward-based training of RNNs
INFO
Forked from song's repo
- Add T.Yang's Task paradigm (2007) to this repo.
- Transplant some of the code (task and training) to some other project in neuroscience.
Requirements
This code is written in Python 2.7 and requires
Notes
- For the paper, we used a time step of 10 ms, which results in hundreds of time steps for typical tasks. When training a new task, we highly recommend that you start with a larger value to save time.
License
MIT
Citation
- Song, H. F., Yang, G. R., & Wang, X.-J. (2017) Reward-based training of recurrent neural networks for cognitive and value-based tasks. eLife, in press.