Skip to main content

numerosity analysis package

Project description

numan : Numerosity analysis

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.

cover

Schematic of the analysis pipeline used for numerosity-stimuli experiments. The image shows an experiment with two conditions: visual stimuli "2" and "5".

Installation

Use the package manager pip to install numan.

pip install numan

Usage

Please see notebooks/examples on github.

Contributing

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.

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

numan-1.1.1.tar.gz (40.6 kB view hashes)

Uploaded Source

Built Distribution

numan-1.1.1-py3-none-any.whl (39.0 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page