davidhaslacher

Pinned Repositories

clam-nibs
This toolbox contains all software required to implement and analyze closed-loop amplitude-modulated non-invasive brain stimulation (CLAM-NIBS)
Language:Python1 1 213
mne-python
MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Language:Python0 1 00
sass
Stimulation Artifact Source Separation
Language:Python6 1 10
sass-dataset-analysis
This repository is part of the Data in Brief article "A set of electroencephalographic (EEG) data recorded during amplitude-modulated transcranial alternating current stimulation (AM-tACS) targeting 10-Hz steady-state visually evoked potentials (SSVEP)"
Language:Python1 1 01
mne-python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Language:Python2.7k 83 4.8k1.3k
osl-dynamics
Methods for studying dynamic functional brain activity in neuroimaging data.
Language:Python58 10 8518
pyPTE
Pythonic implementation of the Phase Transfer Entropy method using NumPy and SciPy
Language:Python22 1 178

davidhaslacher's Repositories

davidhaslacher/sass
Stimulation Artifact Source Separation
Language:Python6 1 10
davidhaslacher/clam-nibs
This toolbox contains all software required to implement and analyze closed-loop amplitude-modulated non-invasive brain stimulation (CLAM-NIBS)
Language:Python1 1 213
davidhaslacher/sass-dataset-analysis
This repository is part of the Data in Brief article "A set of electroencephalographic (EEG) data recorded during amplitude-modulated transcranial alternating current stimulation (AM-tACS) targeting 10-Hz steady-state visually evoked potentials (SSVEP)"
Language:Python1 1 01
davidhaslacher/mne-python
MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Language:Python0 1 00