Metadata-Version: 2.1
Name: clamnibs
Version: 0.1.0
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
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
License-File: LICENSE
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 >=1.11.2
Requires-Dist: seaborn >=0.13.2
Requires-Dist: setuptools >=69.0.3

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.
