Metadata-Version: 2.4
Name: clamnibs
Version: 0.1.20
Summary: Analysis of closed-loop amplitude-modulated non-invasive brain stimulation experiments
Home-page: https://github.com/davidhaslacher/clam-nibs
Author: David Haslacher
Author-email: haslacherdavid@gmail.com
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Dist: emd>=0.6.2
Requires-Dist: fooof>=1.0.0
Requires-Dist: matplotlib>=3.7.1
Requires-Dist: mne>=1.5.1
Requires-Dist: numpy>=1.25.0
Requires-Dist: pandas>=2.0.3
Requires-Dist: pingouin>=0.5.3
Requires-Dist: pycircstat>=0.0.2
Requires-Dist: scipy>=1.14.0
Requires-Dist: seaborn>=0.13.2
Requires-Dist: setuptools>=69.0.3
Requires-Dist: pynose>=1.5.2
Requires-Dist: sphinx
Requires-Dist: sphinx-rtd-theme
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: home-page
Dynamic: license
Dynamic: requires-dist
Dynamic: summary

This toolbox contains all software required to implement closed-loop amplitude-modulated non-invasive brain stimulation (CLAM-NIBS) and evaluate the resulting electroencephalography (EEG) or magnetoencephalography (MEG) data.
