This repo contains the source for the Aeon online documentation.
Caution
The documentation is currently under active development and may be incomplete. Please report any issues or suggestions for improvement by opening an issue.
To contribute to the documentation, please see the Contributor Guide.
Aeon is a collaborative effort to perform behavioural neuroscience experiments where the behaviour and neural activity of freely moving animals engaging in a complex task are continuously recorded. This project is contributed to by researchers and support staff at UCL's SWC, Neurogears, and Datajoint. Please refer to our website for the full list of contributors.
If you are interested in joining this project, please contact the project maintainers.
Below are the required sets of credentials for Aeon members:
- Microsoft Teams: contact Jai Bhagat, Gonçalo Lopes, or Dario Campagner
- SWC Github organization: contact SWC Helpdesk
- SWC Github
aeonproject: contact Jai Bhagat or Gonçalo Lopes - SWC HPC: contact SWC Helpdesk
aeonHPC Linux group: contact SWC Helpdesk- Datajoint database username: contact Thinh Nguyen
To be granted these credentials, please send a single email to all contact parties requesting this access.
Aeon is organised into multiple repositories. The full list of repositories and their descriptions are available in the Repositories section of the documentation.
- Jai Bhagat ([email protected])
- Gonçalo Lopes ([email protected])
- Dario Campagner ([email protected])
- Chang Huan Lo ([email protected])
If you use Aeon in your work, please cite it as below:
D. Campagner, J. Bhagat, G. Lopes, L. Calcaterra, A. G. Pouget, A. Almeida, T. T. Nguyen, C. H. Lo, T. Ryan, B. Cruz, F. J. Carvalho, Z. Li, A. Erskine, J. Rapela, O. Folsz, M. Marin, J. Ahn, S. Nierwetberg, S. C. Lenzi, J. D. S. Reggiani, SGEN group – SWC GCNU Experimental Neuroethology Group. Aeon: an open-source platform to study the neural basis of ethological behaviours over naturalistic timescales. Preprint at https://doi.org/10.1101/2025.07.31.664513 (2025)
