updated references

braindecode/models/deep4.py

@@ -17,10 +17,10 @@ class Deep4Net(BaseModel):
     ----------
 
     .. [1] Schirrmeister, R. T., Springenberg, J. T., Fiederer, L. D. J., 
-       Glasstetter, M., Eggensperger, K., Tangermann, M., ... & Ball, T. (2017).
+       Glasstetter, M., Eggensperger, K., Tangermann, M., Hutter, F. & Ball, T. (2017).
        Deep learning with convolutional neural networks for EEG decoding and
        visualization.
-       arXiv preprint arXiv:1703.05051.
+       Human Brain Mapping , Aug. 2017. Online: http://dx.doi.org/10.1002/hbm.23730
     """
     def __init__(self, in_chans,
                  n_classes,
@@ -103,7 +103,7 @@ class Deep4Net(BaseModel):
             suffix = '_{:d}'.format(block_nr)
             model.add_module('drop' + suffix,
                              nn.Dropout(p=self.drop_prob))
-            model.add_module('conv' + suffix.format(block_nr),
+            model.add_module('conv' + suffix,
                              nn.Conv2d(n_filters_before, n_filters,
                                        (filter_length, 1),
                                        stride=(conv_stride, 1),

braindecode/models/hybrid.py

@@ -10,18 +10,18 @@ from braindecode.models.util import to_dense_prediction_model
 
 class HybridNet(nn.Module, BaseModel):
     """
-       Hybrid ConvNet model from [3]_.
+    Hybrid ConvNet model from [3]_.
        
-       Very hardcoded at the moment.
+    Very hardcoded at the moment.
 
-       References
-       ----------
+    References
+    ----------
 
-       .. [3] Schirrmeister, R. T., Springenberg, J. T., Fiederer, L. D. J., 
-          Glasstetter, M., Eggensperger, K., Tangermann, M., ... & Ball, T. (2017).
-          Deep learning with convolutional neural networks for EEG decoding and
-          visualization.
-          arXiv preprint arXiv:1703.05051.
+    .. [3] Schirrmeister, R. T., Springenberg, J. T., Fiederer, L. D. J.,
+       Glasstetter, M., Eggensperger, K., Tangermann, M., Hutter, F. & Ball, T. (2017).
+       Deep learning with convolutional neural networks for EEG decoding and
+       visualization.
+       Human Brain Mapping , Aug. 2017. Online: http://dx.doi.org/10.1002/hbm.23730
     """
     def __init__(self, n_chans, n_classes, input_time_length):
         super(HybridNet, self).__init__()

braindecode/models/shallow_fbcsp.py

@@ -15,11 +15,11 @@ class ShallowFBCSPNet(BaseModel):
     References
     ----------
 
-    .. [2] Schirrmeister, R. T., Springenberg, J. T., Fiederer, L. D. J., 
-       Glasstetter, M., Eggensperger, K., Tangermann, M., ... & Ball, T. (2017).
+    .. [2] Schirrmeister, R. T., Springenberg, J. T., Fiederer, L. D. J.,
+       Glasstetter, M., Eggensperger, K., Tangermann, M., Hutter, F. & Ball, T. (2017).
        Deep learning with convolutional neural networks for EEG decoding and
        visualization.
-       arXiv preprint arXiv:1703.05051.
+       Human Brain Mapping , Aug. 2017. Online: http://dx.doi.org/10.1002/hbm.23730
     """
     def __init__(self, in_chans,
                  n_classes,

braindecode/torch_ext/constraints.py

@@ -10,10 +10,10 @@ class MaxNormDefaultConstraint(object):
     ----------
 
     .. [1] Schirrmeister, R. T., Springenberg, J. T., Fiederer, L. D. J., 
-       Glasstetter, M., Eggensperger, K., Tangermann, M., ... & Ball, T. (2017).
+       Glasstetter, M., Eggensperger, K., Tangermann, M., Hutter, F. & Ball, T. (2017).
        Deep learning with convolutional neural networks for EEG decoding and
        visualization.
-       arXiv preprint arXiv:1703.05051.
+       Human Brain Mapping , Aug. 2017. Online: http://dx.doi.org/10.1002/hbm.23730
     
     """
     def apply(self, model):

braindecode/visualization/perturbation.py

@@ -278,10 +278,10 @@ def compute_amplitude_prediction_correlations(pred_fn, examples, n_iterations,
     ----------
 
     .. [EEGDeepLearning] Schirrmeister, R. T., Springenberg, J. T., Fiederer, L. D. J.,
-       Glasstetter, M., Eggensperger, K., Tangermann, M., ... & Ball, T. (2017).
+       Glasstetter, M., Eggensperger, K., Tangermann, M., Hutter, F. & Ball, T. (2017).
        Deep learning with convolutional neural networks for EEG decoding and
        visualization.
-       arXiv preprint arXiv:1703.05051.
+       Human Brain Mapping , Aug. 2017. Online: http://dx.doi.org/10.1002/hbm.23730
     """
     pred_fn_new = lambda x: [pred_fn(x)]
     pred_corrs = spectral_perturbation_correlation(perturb_fn, mean_diff_feature_maps,

braindecode/visualization/plot.py

@@ -67,13 +67,11 @@ def ax_scalp(v, channels,
     References
     ----------
 
-
     .. [1] Schirrmeister, R. T., Springenberg, J. T., Fiederer, L. D. J.,
-       Glasstetter, M., Eggensperger, K., Tangermann, M., ... & Ball, T. (2017).
+       Glasstetter, M., Eggensperger, K., Tangermann, M., Hutter, F. & Ball, T. (2017).
        Deep learning with convolutional neural networks for EEG decoding and
        visualization.
-       arXiv preprint arXiv:1703.05051.
-
+       Human Brain Mapping , Aug. 2017. Online: http://dx.doi.org/10.1002/hbm.23730
     """
     if ax is None:
         ax = plt.gca()