If you're interested in becoming a contributor or requesting changes then click here to join the discord
Difference between revisions of "NEPy"
Landonodnal (talk | contribs) |
Landonodnal (talk | contribs) |
||
| (3 intermediate revisions by the same user not shown) | |||
| Line 1: | Line 1: | ||
[[Category:Developer Tools]] | [[Category:Developer Tools]] | ||
| − | NEPy is a Python package. It allows you to integrate EEG data from your Enobio® and Starstim® experiments (e.g. binary NIC files like .nedf and plain text files like .easy) directly into your scripts developed in Python, a free and open-source language which has gained great popularity in the scientific community. With NEPy you can conveniently analyze your experiments with MNE (MEG+EEG Analysis & | + | NEPy is a Python package. It allows you to integrate EEG data from your Enobio® and Starstim® experiments (e.g. binary NIC files like .nedf and plain text files like .easy) directly into your scripts developed in Python, a free and open-source language which has gained great popularity in the scientific community. With NEPy you can conveniently analyze your experiments with MNE (MEG+EEG Analysis & Visualization) open-source libraries or apply internally developed Python methods. |
In addition to reading files, NEPy provides methods to check data quality and perform basic pre-processing pipelines. | In addition to reading files, NEPy provides methods to check data quality and perform basic pre-processing pipelines. | ||
Latest revision as of 20:40, 28 January 2023
NEPy is a Python package. It allows you to integrate EEG data from your Enobio® and Starstim® experiments (e.g. binary NIC files like .nedf and plain text files like .easy) directly into your scripts developed in Python, a free and open-source language which has gained great popularity in the scientific community. With NEPy you can conveniently analyze your experiments with MNE (MEG+EEG Analysis & Visualization) open-source libraries or apply internally developed Python methods.
In addition to reading files, NEPy provides methods to check data quality and perform basic pre-processing pipelines.
NEPy is available under the open source MIT License, so it can be freely used and adjusted by all Enobio® and Starstim® customers. To obtain it, go to Neuroelectrics® GitHub repository or: "pip install nepy" in your console. On our GitHub page you will find additional demos and examples.