Numan is a Python library for a project aiming to identify the neural correlates of numerosity abilities in zebrafish. The broad project aims to test the hypothesis that the ability to represent numerosity has an evolutionarily conserved neural basis and to identify the cellular and molecular processes involved. In particular, using a 2P Light-Sheet microscope, we recorded the whole-brain GCaMP activity in zebrafish larvae in response to a change in the number of visual stimuli and we aim to find a set of neurons/activity patterns that is characteristic of a specific number presented to the fish.
Numan contains only the analysis tools and relies on vodex for data management.
Use the package manager pip to install numan.
pip install numanPlease see notebooks/examples on github.
Pull requests are welcome, but for now it's only me working on this project, so it might take me some time. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.