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+Data for Visual WM experiment described in:
+Bashivan, Pouya, et al. "Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks." International conference on learning representations (2016).
+
+FeatureMat_timeWin:
+FFT power values extracted for three frequency bands (theta, alpha, beta). Features are arranged in band and electrodes order (theta_1, theta_2..., theta_64, alpha_1, alpha_2, ..., beta_64). There are seven time windows, features for each time window are aggregated sequentially (i.e. 0:191 --> time window 1, 192:383 --> time windw 2 and so on. Last column contains the class labels (load levels).
+
+Neuroscan_locs_orig:
+3 dimensional coordinates for electrodes on Neuroscan quik-cap.
+
+trials_subNums:
+contains subject numbers associated with each trial (used for leave-subject-out cross validation).
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