neo : objects and IO to manipulate electro-physiological (in vivo and/or simulated) data

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for alejoe91 from gravatar.com alejoe91 Avatar for apdavison from gravatar.com apdavison Avatar for JuliaSprenger from gravatar.com JuliaSprenger Avatar for mdenker from gravatar.com mdenker Avatar for sgarcia from gravatar.com sgarcia

Unverified details

These details have not been verified by PyPI
Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: BSD License (BSD)

Author: Samuel Garcia, Pierre Yger, Luc Estabanez, Andrew Davison , Yury V. Zaytsev

Classifiers

Project description

NEO stands for Neural Ensemble Objects and is a project to provide a common set of base classes to be used in neural data analysis, with the aim of getting OpenElectrophy, NeuroTools and maybe other projects with similar goals more close together.

It provide a set of basic class to manipulate electro-physiological (in vivo and/or simulated) data and an IO module to read/write as many as possible file format.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for alejoe91 from gravatar.com alejoe91 Avatar for apdavison from gravatar.com apdavison Avatar for JuliaSprenger from gravatar.com JuliaSprenger Avatar for mdenker from gravatar.com mdenker Avatar for sgarcia from gravatar.com sgarcia

Unverified details

These details have not been verified by PyPI
Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: BSD License (BSD)

Author: Samuel Garcia, Pierre Yger, Luc Estabanez, Andrew Davison , Yury V. Zaytsev

Classifiers

Release history Release notifications | RSS feed

0.13.0

0.12.0

0.11.1

0.11.0

0.10.2

0.10.1

0.10.0

0.9.0

0.8.0

0.7.2

0.7.1

0.7.0

0.6.1

0.6.0

0.5.2

0.5.1

0.5.0

0.4.1

0.4.0

0.3.3

0.3.2

0.3.1

0.3.0

0.2.1

0.2.0

This version

0.1.0

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

neo-0.1.0-py2.6.egg (515.5 kB view hashes)

Uploaded Source

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