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The zip file contains research data supporting the paper: Decreasing alertness modulates perceptual decision-making The files are arranged in the following manner: The raw data is present for 32 subjects used in the analysis. Each subject has a directory, for e.g. s_02 a) Inside this directory, there are two directories: awake: s_02_awake drowsy: s_02_drowsy b) The awake file has 124 trials, and the drowsy has 740 trials c) The files are .mff format (egi) and the coding is as follows: 'tone' - stimulus, 'RESP' - response. Each 'tone' is followed by a 'DIN2' marker, that marks when the stimulus was actually presented. 'summary_Righthanders.csv' contains the other details for all subjects, with subject id and whether the data was actually used for the analysis or not.
alertness, attention, cognitive neuroscience, behavioural modelling, machine learning
alertness, attention, cognitive neuroscience, behavioural modelling, machine learning
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