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+# H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks
+This is the code used in the paper "[H-Mem: Harnessing synaptic plasticity with Hebbian Memory
+Networks](https://www.biorxiv.org/content/10.1101/2020.07.01.180372v1)" for training H-Mem on a single-shot
+image association task and on the bAbI question-answering tasks.
+
+## Setup
+You need [TensorFlow](https://www.tensorflow.org/) to run this code. We tested it on TensorFlow version 2.1.0.
+Additional dependencies are listed in [environment.yml](environment.yml). If you use
+[Conda](https://docs.conda.io/en/latest/), run
+
+```bash
+conda env create --file=environment.yml
+```
+
+to install the required packages and their dependencies.
+
+## Usage
+TODO
+
+## References
+* Limbacher, T., Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks bioRxiv https://dx.doi.org/10.1101/2020.07.01.180372