MLNS_BCI_Project

Final Project for NEUR182: "Machine Learning with Neural Signals". This BCI Project was built by Rishov Chatterjee, Teresa Ibarra, Siena Guerrero, and SiKe Wang using information and data from the following paper: "Decoding auditory attention to instruments in polyphonic music using single-trial EEG classification."

5 Parts

Part 1: Binary Classification for Unattended versus Attended

Merged and Labeled DevAttentionX data and Merged DevAttentionY data available on the Google Drive.

Please Note: Make sure to drop the first column from the dataframe when reading the csv files otherwise you will get an error when you instantiate your classifier in scikit-learn.

Intra-Subject File IDs for Google Colab

File ID for merged_labeled_DevAttentionX.csv in Google Colab: "1-s6kpsj5Gvc86FtIrfk_AhlRvVZRi8Mj"

File ID for merged_labeled_DevAttentionY.csv in Google Colab: "1tHrpcAJjUuerjXrDJ1RGNRCmffPtkW33"

Cross Subject Code for Google Colab

p1_x = drive.CreateFile({'id':"1RoH6sXOdhaFk-P2BRQKIY9yiLbTevReJ"})
p1_x.GetContentFile("VPaan_DevAttentionX.csv")

p1_y = drive.CreateFile({'id': "1kfGHc9LHFHbVv2CMX_CqnXECiXshY9Eb"})
p1_y.GetContentFile("VPaan_DevAttentionY.csv")

p2_x = drive.CreateFile({'id': "1fbaIh9xAcZMO35gVoym6iTnpIJvc1DcF"})
p2_x.GetContentFile("VPaap_DevAttentionX.csv")

p2_y = drive.CreateFile({'id': "1c7P3RbnyWCkhRUu_bv_SjUiJPdwusXKd"})
p2_y.GetContentFile("VPaap_DevAttentionY.csv")

p3_x = drive.CreateFile({'id': "1_fZHmXRRtZWZDY_L92GV-_gqWZjyaZyK"})
p3_x.GetContentFile("VPaas_DevAttentionX.csv")

p3_y = drive.CreateFile({'id': "1R_5qOWIikz8VHN1TJIgl_Cv_Zeh8-Ava"})
p3_y.GetContentFile("VPaas_DevAttentionY.csv")

p4_x = drive.CreateFile({'id': "1-7L3M541OdGGm1U2QjXXUV9ity1FiEZl"})
p4_x.GetContentFile("VPgcc_DevAttentionX.csv")

p4_y = drive.CreateFile({'id': "1rsY0_5MtJ9W_9EfLCKhNjSPnvBoIHPC9"})
p4_y.GetContentFile("VPgcc_DevAttentionY.csv")

Importing Files from Drive onto Google Colab

Please look at src/ml_experiments/logistic-regression/rishov-logistic-regression.py for the end to end template that is required for all the models.