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- %% Author: Xuelian Zang
- %% Contact: zangxuelian@gmail.com, lianlian81821@126.com
- %% Date:09th Sep, 2020
- %% Descriptions: All the experimental data and the related code for processing data are provided.
- Exp1_AllData.mat: Dataset for Experiment 1 (solo-search condition)
- Exp2_AllData: Dataset for Experiment 2 (joint action condition)
- Exp3_AllData.mat: Dataset for Experiment 3 (solo-search condition)
- Note: the data are already preprocessed by combining different participants response together.
- Error trials and invalid trials (RTs of below 200 ms and above 2.5 standard deviations from the mean)
- are separately saved.
- For each data set, it includes data for three sessions, namely 'train','test' and 'rec' for the training, test
- and recognition sessions respectively.
- Data for each session consist of 'valid','err' and 'dis' for valid trials, error trials, and discarded outliers. When
- put these three parts together, we obtain all the responses for all experimental trials.
- For each subset data, take AllData.train.valid as an example:
- RP: participants' actual key press, corresponding to the four response keys. 1=key 1!, 2= key 2@, 3=key 8*, 4= key 0)
- RT: participants' response time in seconds
- Crr: correct trials. >0 1=left response correct; 2= right response correct; -3 = left response wrong; -2=right response wrong
- NT: number of trials
- NB: number of blocks
- White: left target white? 1 = white, 0 = black
- New1: current configuration related to left target new? 1= new, 0 = old
- TLoc1: left target's location
- OriBlack: right target black? 1= black, 0 =white
- New2: current configuration related to the right target new? 1= new, 0 = old, this column is the same as New1
- TLoc2: left target's location
- Dir1: left target's orientation, 1= left, 2=right
- Dir2: right target's orientation, 1= left, 2=right
- NE: number of epochs
- NSub: number of subjects
- For all the variable named with 'for Spss', you could copy its data to SPSS and directly use SPSS to run statistical test.
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