├── BCI2005 ├── EEG_cnn_lstm_3.0.py ├── EEG_cnn_lstm_3.1.py ├── EEG_cnn_lstm_3.2.py ├── EEG_cnn_lstm_3.3.py ├── IVa │ ├── 2lstm_true_average_tanh.py │ ├── 2lstm_true_max_relu.py │ ├── 4cnn2lstm_true_max_relu.py │ └── log │ │ ├── 2lstm_true_average_tanh_adam.log │ │ └── 4cnn2lstm_true_maxrelu.log ├── generate_data.py └── old-script │ ├── EEG_cnn_lstm_3.0.py │ ├── EEG_cnn_lstm_3.1.py │ ├── EEG_cnn_lstm_3.2.py │ ├── EEG_cnn_lstm_3.3.py │ └── generate_data.py ├── BCI2008 ├── 1*128_mlp_adam0.0005.py ├── 1*128_mlp_sgd0.01.py ├── 1LSTM_false_RMSprop0.001.py ├── 1lstm_ture_RMSprop0.001.py ├── 1lstm_ture_adam0.0005.py ├── 2*128_mlp_sgd0.01.py ├── 2lstm_false_RMSprop0.001.py ├── 2lstm_true_RMSprop0.001.py ├── 2lstm_true_adam0.0005.py ├── 8s_data │ ├── 2lstm_false_max_relu_adam.py │ ├── 2lstm_true_max_relu_adam.py │ ├── little_wave │ │ ├── 2cnn_average_tanh_adam.py │ │ ├── 2cnn_max_relu_adam.py │ │ ├── 2cnn_valid_max_relu.py │ │ ├── 2lstm_true_max_relu_adam.py │ │ └── choose_windows.py │ └── log │ │ ├── 2lstm_false_max_relu_adam.log │ │ └── 2lstm_true_max_relu_adam.log ├── EEG_cnn_lstm_2.3.py ├── EEG_cnn_lstm_2.4.py ├── arange_pole │ ├── 2l_tmr_filtered.py │ ├── 2lstm_true_max_relu_adam.py │ └── log │ │ ├── 2l_tmr_filtered.log │ │ ├── cube_cnn_2lstm_true_max_relu.log │ │ └── temp.txt ├── little_wave │ ├── 2BiLSTM_tmr.py │ ├── 2cnn_average_tanh_adam.py │ ├── 2cnn_max_relu_adam.py │ ├── 2cnn_mr_on_Fangdata.py │ ├── 2cnn_valid_max_relu.py │ ├── 2lstm_true_max_relu_adam.py │ ├── 4s_alpha_2BiLSTM_tmr.py │ ├── allsubs_2cnn_rm_on_Fangdata.py │ ├── choose_windows.py │ └── log │ │ ├── 2cnn_average_tanh_adam.log │ │ ├── 2cnn_max_relu_adam.log │ │ ├── 2cnn_valid_max_relu.log │ │ ├── 4000_2lstm_true_max_relu_adam.log │ │ ├── 4s_all_2BiLSTM_tmr.log │ │ ├── 4s_alpha_2BiLSTM_tmr.log │ │ ├── choose_window.log │ │ └── temp ├── old-scripts │ ├── EEG_cnn_lstm_1.0.py │ ├── EEG_cnn_lstm_1.1.py │ ├── EEG_cnn_lstm_1.2.py │ ├── EEG_cnn_lstm_2.0.py │ ├── EEG_cnn_lstm_2.1.py │ └── EEG_cnn_lstm_2.2.py ├── on-filter-data │ ├── 1BiLSTM_tmr.py │ ├── 1lstm_true_max_relu.py │ ├── 2BiLSTM_tmr.py │ ├── 2cnn_max_relu_adam.py │ ├── 2lstm_true_adam0.0005.py │ ├── 2lstm_true_max_relu_adam.py │ └── log │ │ ├── 1BiLSTM_tmr.log │ │ ├── 1lstm_true_max_relu.log │ │ ├── 2BiLSTM_tmr.log │ │ ├── 2cnn_max_relu_adam.log │ │ ├── 2lstm_true_adam.log │ │ ├── 2lstm_true_max_relu_adam.log │ │ └── temp.txt └── paper_structure.py ├── GPU-test.py ├── ImageNet ├── 2lstm_false_adam0.0005.py ├── 5-class-average-tan.py ├── 5-class-image-method.py ├── image-mathod.py ├── log │ ├── 5-class-average-tan-1477.log │ ├── 5-class-average-tan.log │ ├── 5-class-image-method.log │ └── image-method-2class.log └── utils │ ├── ImageNet_data_to_npy.py │ ├── __init__.py │ └── model-check.py ├── README.md ├── analysis ├── model2.2_activation_1.npy ├── model2.2_activation_1.png ├── model2.2_activation_2.npy ├── model2.2_activation_2.png ├── model2.2_maxpooling2d_1.npy ├── model2.2_maxpooling2d_1.png ├── model2.2_reshape_1.npy ├── 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