lqzhou/Short-term-plasticity-RNN

Short-term plasticity RNN models in Tensorflow

Short-term-plasticity-RNN

Code accompanying the paper:

Circuit mechanisms for the maintenance and manipulation of information in working memory

Nicolas Y Masse, Guangyu R Yang, H. Francis Song, Xiao-Jing Wang, David J Freedman

https://www.nature.com/articles/s41593-019-0414-3

and

https://www.biorxiv.org/content/early/2018/04/22/305714 (preprint)

Code used to train recurrent neural networks endowed with short-term plasticity on working-memory based tasks.

Requires:
Python 3
TensorFlow 1+

Please email masse@uchicago.edu to report any issues, bugs, etc.