文件列表:

LICENSE.txt (1518, 2017-10-10)
MANIFEST.in (134, 2017-10-10)
braindecode (0, 2017-10-10)
braindecode\__init__.py (43, 2017-10-10)
braindecode\datasets (0, 2017-10-10)
braindecode\datasets\__init__.py (38, 2017-10-10)
braindecode\datasets\bbci.py (17613, 2017-10-10)
braindecode\datasets\bcic_iv_2a.py (3173, 2017-10-10)
braindecode\datasets\multiple.py (1381, 2017-10-10)
braindecode\datasets\sensor_positions.py (6495, 2017-10-10)
braindecode\datautil (0, 2017-10-10)
braindecode\datautil\__init__.py (40, 2017-10-10)
braindecode\datautil\iterators.py (12577, 2017-10-10)
braindecode\datautil\signal_target.py (909, 2017-10-10)
braindecode\datautil\signalproc.py (6897, 2017-10-10)
braindecode\datautil\splitters.py (2151, 2017-10-10)
braindecode\datautil\trial_segment.py (13156, 2017-10-10)
braindecode\datautil\util.py (599, 2017-10-10)
braindecode\experiments (0, 2017-10-10)
braindecode\experiments\__init__.py (85, 2017-10-10)
braindecode\experiments\experiment.py (15465, 2017-10-10)
braindecode\experiments\monitors.py (10073, 2017-10-10)
braindecode\experiments\stopcriteria.py (3007, 2017-10-10)
braindecode\mne_ext (0, 2017-10-10)
braindecode\mne_ext\__init__.py (40, 2017-10-10)
braindecode\mne_ext\signalproc.py (2451, 2017-10-10)
braindecode\models (0, 2017-10-10)
braindecode\models\__init__.py (64, 2017-10-10)
braindecode\models\deep4.py (8111, 2017-10-10)
braindecode\models\eegnet.py (4522, 2017-10-10)
braindecode\models\shallow_fbcsp.py (4938, 2017-10-10)
braindecode\models\util.py (1619, 2017-10-10)
braindecode\torch_ext (0, 2017-10-10)
braindecode\torch_ext\__init__.py (64, 2017-10-10)
braindecode\torch_ext\constraints.py (1018, 2017-10-10)
braindecode\torch_ext\functions.py (223, 2017-10-10)
braindecode\torch_ext\init.py (709, 2017-10-10)
braindecode\torch_ext\losses.py (2632, 2017-10-10)
... ...

Note: The old braindecode repository has been moved to https://github.com/robintibor/braindevel. Braindecode =========== A deep learning toolbox to decode raw time-domain EEG. For EEG researchers that want to want to work with deep learning and deep learning researchers that want to work with EEG data. For now focussed on convolutional networks. Installation ============ 1. Install pytorch from http://pytorch.org/ (you don't need to install torchvision). 2. Install numpy (necessary for resamply installation to work), e.g.: .. code-block:: bash pip install numpy 3. Install newest version of python-mne: .. code-block:: bash git clone git://github.com/mne-tools/mne-python.git cd mne-python python setup.py install 4. Install braindecode via pip: .. code-block:: bash pip install braindecode Documentation ============= Documentation is online under https://robintibor.github.io/braindecode/ Citing ====== If you use this code in a scientific publication, please cite us as: .. code-block:: bibtex @article {HBM:HBM23730, author = {Schirrmeister, Robin Tibor and Springenberg, Jost Tobias and Fiederer, Lukas Dominique Josef and Glasstetter, Martin and Eggensperger, Katharina and Tangermann, Michael and Hutter, Frank and Burgard, Wolfram and Ball, Tonio}, title = {Deep learning with convolutional neural networks for EEG decoding and visualization}, journal = {Human Brain Mapping}, issn = {1097-0193}, url = {http://dx.doi.org/10.1002/hbm.23730}, doi = {10.1002/hbm.23730}, month = {aug}, year = {2017}, keywords = {electroencephalography, EEG analysis, machine learning, end-to-end learning, brain–machine interface, brain–computer interface, model interpretability, brain mapping}, }

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