Metadata-Version: 2.1
Name: dynaphos
Version: 0.1.2
Summary: Fully differentiable and biologically plausible simulation of prosthetic vision.
Author-email: Maureen van der Grinten <maureen.vandergrinten@ru.nl>, Jaap de Ruyter <jaap.deruyter@donders.ru.nl>, Bodo Rueckauer <bodo.rueckauer@donders.ru.nl>
Project-URL: Homepage, https://github.com/neuralcodinglab/dynaphos.git
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

# About the project
A fully differentiable and biologically plausible simulation of cortical prosthetic vision, which can be used for end-to-end optimization.

## Installation
`pip install dynaphos`

## Getting Started
- Download the default configuration file (config/params.yaml) from [our repository](https://github.com/neuralcodinglab/dynaphos/) and adjust according to needs. 
- Run the `test` suite.
- See the `examples` directory for simple use cases.

## Citation
van der Grinten, M. L., de Ruyter van Steveninck, J., Lozano, A., Pijnacker, L., Rueckauer, B., Roelfsema, P., van Gerven, M., van Wezel, R., Güçlü, U., & Güçlütürk, Y. (2022). Biologically plausible phosphene simulation for the differentiable optimization of visual cortical prostheses. [bioRxiv] https://doi.org/10.1101/2022.12.23.521749 

## Experiments
For the end-to-end optimization experiments in our BioRxiv publication see [this repository](https://github.com/neuralcodinglab/viseon/tree/dynaphos-paper).
All other code that was used for the other experiments in our publication can me made available on request.

## Contact
Feel free to submit an issue, we're happy to help.
