Optimal Feature Encoding in Early Vision

Description An alphanumerical code has been assigned to each participant dataset. Each ‘. hdf5’ file contains the EEG data of one experimental block (1 to 6; 360 trials each). Each ‘. mat’ file contains a structure named “A_MatriceTrials”, which is composed of 2280 rows (one for each trial) and nine columns: · Column 1: trial number · Column 2: inter-stimulus start time · Column 3: inter-stimulus end time · Column 4: stimulus start time · Column 5: stimulus end time · Column 6: stimuli position on screen ([1,840,485] = Upper visual field; [2,867,634] = Lower visual field). · Column 7: stimuli SNR (0, 0.3, 0.6, 1) or psychophysical task (2 = 0 vs. 30; 3 = 0 vs. 60; 4 = 0 vs. 100) · Column 8: Stimuli specifics. Each column describes one of the ten patterns shown in the stimulus: § Row 1: Pattern classified as ‘Optimal’ (1) or ‘Non-optimal’ (0) § Row 2: Pattern identification code (from 1 to 50) § Row 3: 9x9 pixel pattern matrix (0 = Black; 255 = White) § Row 4: X-Y coordinates of the pattern Please note that Column 8 presents eight rows in the case of a psychophysical task trial, where there are two stimuli (each containing 10 patterns). · Column 9: Response for psychophysical task trial (0 = incorrect, 1 = correct; Nan = experimental trials with no task)