--- a
+++ b/oldexamples/exampleBV.py
@@ -0,0 +1,37 @@
+#conda create -n deepeeg
+#source activate deepeeg
+#chomd +x install.sh
+#bash install.sh
+#!git clone https://github.com/kylemath/eeg-notebooks_v0.1
+#python
+from utils import *
+data_dir = '/Users/kylemathewson/Desktop/'
+exp = 'bikepark'
+#subs = [ '009']
+subs = ['005', '007', '009', '010', '012', '013', '014', '015', '016', '019']
+
+sessions = ['quiet','traffic']
+nsesh = len(sessions)
+event_id = {'Standard': 1, 'Target': 2}
+
+#https://martinos.org/mne/stable/auto_tutorials/plot_visualize_evoked.html
+epochs = []
+for sub in subs:
+	print('Loading data for subject ' + sub)
+	#Load Data
+	raw = LoadBVData(sub,sessions,data_dir,exp)
+	#Pre-Process EEG Data
+	epochs.append(PreProcess(raw,event_id,emcp=True,rereference=True,
+						plot_erp=True))
+
+epochs = concatenate_epochs(epochs)	
+print(epochs)
+
+#Engineer Features for Model
+feats = FeatureEngineer(epochs,model_type='NN',electrode_median=False)
+#Create Model
+model,_ = CreateModel(feats, units=[16,16], dropout=.15)
+#Train with validation, then Test
+TrainTestVal(model,feats)
+
+