--- a/README.md +++ b/README.md @@ -1,38 +1,32 @@ - -# tf_EEGLearn -All implementations are not guaranteed to be correct, have not been checked by original authors, only reimplemented from the paper description and open source code from original authors. - - -## Prerequisites - -- python >= 3.5 -- tensorflow-gpu >= 1.2 - - `conda install tensorflow-gpu=1.2` -- Numpy -- Scipy -- Scikit-learn - -## EEGLearn - -It's a tensorflow implementation for EEGLearn - - Bashivan, et al. "Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks." International conference on learning representations (2016). - http://arxiv.org/abs/1511.06448 - -For more information please see https://github.com/pbashivan/EEGLearn - -<center> - - - - -</center> - -## Leave-one-subject-out Experments - -### Model: EEGLearn - - -| Subject id | S0 | S1 | S2 | S3 | S4 | S5 | S6 | S7 | S8 | S9 | S10 | S11 | S12 | mean | -|--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- | +# tf_EEGLearn +All implementations are not guaranteed to be correct, have not been checked by original authors, only reimplemented from the paper description and open source code from original authors. + + +## Prerequisites + +- python >= 3.5 +- tensorflow-gpu >= 1.2 + - `conda install tensorflow-gpu=1.2` +- Numpy +- Scipy +- Scikit-learn + +## EEGLearn + +It's a tensorflow implementation for EEGLearn + + Bashivan, et al. "Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks." International conference on learning representations (2016). + http://arxiv.org/abs/1511.06448 + +For more information please see https://github.com/pbashivan/EEGLearn + + + +## Leave-one-subject-out Experments + +### Model: EEGLearn + + +| Subject id | S0 | S1 | S2 | S3 | S4 | S5 | S6 | S7 | S8 | S9 | S10 | S11 | S12 | mean | +|--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- | | CNN test acc | 55.14 | 73.58 | 93.47 | 100.00 | 100.00 | 99.50 | 99.48 | 100.00 | 98.57 | 100.00 | 98.62 | 72.25 | 49.55 | 87.70 | \ No newline at end of file