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GeNN Working Group

GeNN Working Group

Tags:
simulation
computational modelling
Status:
Completed
Contributor/Mentors
  • Thomas Nowotny, University of Sussex
  • James Knight, University of Sussex
Links
Github link
About

GeNN is a GPU enhanced Neuronal Network simulation environment based on NVIDIA CUDA technology. Learn more at: https://genn-team.github.io/genn/

How we work

This Working Group is sponsored by the Google Summer of Code (GSoC) program, a global program focused on bringing more student developers into open source software development by pairing them to work with an open source organization on a programming project during their break from school. Membership to this working group is not limited to participants in the GSoC program. All interested parties are encouraged to participate.

Members

Shailesh Tripathi, GSoC student, 2016
Mengchi Zhang, GSoC student, 2017
Alona Sakhnenko, GSoC student, 2018
Anton Komissarov, GSoC student, 2018
Ajay Subramanian, GSoC student, 2019
Manvi Agarwal, GSoC student, 2020

Aims

 Improving and extending the GeNN simulator, increasing interoperability and implementing community standards. Current projects include: improving the PyNN interface to GeNN, ISPC backends for GeNN, and Brian2GeNN converter. Learn more about the GeNN Working Group's 2021 projects.

Deliverables