Difference between revisions of "Fixation Details"
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| − | '''!! Note that, for "Fixation task", the data has already merged across days!! | + | '''!! Note that, for "Fixation task", the data has been already merged across days!! |
''' | ''' | ||
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A '''"ECoG_chXXX.mat"''' contains ECoG signal recorded from the channel XXX (XXX =001-128). Loading each file, you'll obtain the matrix "data" that is the 2D matrix of trial*time. Each row is an ECoG signal for each trial starting from 1 sec before the onset of the fixation point (FP) onset. Thus for example, you can draw ERP assigned to the FP onset by plot(mean(data,1)). | A '''"ECoG_chXXX.mat"''' contains ECoG signal recorded from the channel XXX (XXX =001-128). Loading each file, you'll obtain the matrix "data" that is the 2D matrix of trial*time. Each row is an ECoG signal for each trial starting from 1 sec before the onset of the fixation point (FP) onset. Thus for example, you can draw ERP assigned to the FP onset by plot(mean(data,1)). | ||
| − | B '''"info.mat"''' contains "prms" (struct) and "eyeData" (cell). "prms" is the time-stamps of the events, the fixation start and the reward delivery, for each trial. "eyeData" contains the horizontal and vertical eye positions in each trial. Note that the sampling rate of the eye positions was 500 Hz that is different from that for ECoG signals (1 kHz). | + | B '''"info.mat"''' contains "prms" (struct) and "eyeData" (cell). "prms" is the time-stamps of the events, the fixation start and the reward delivery, for each trial. For the trials in which the monkey was waiting for the FP onset around the center of the display before the FP turned on, prms.fixStart(n) became 1. "eyeData" contains the horizontal and vertical eye positions in each trial. Note that the sampling rate of the eye positions was 500 Hz that is different from that for ECoG signals (1 kHz). |
C '''"elPosition_XX.mat"''' is the information about the location of the electrodes on the cortical surface (XX = Qu, Bt. or Cn). You can see the location of the electrodes with the code like this; | C '''"elPosition_XX.mat"''' is the information about the location of the electrodes on the cortical surface (XX = Qu, Bt. or Cn). You can see the location of the electrodes with the code like this; | ||
Latest revision as of 21:30, 8 February 2016
- Subjects
Monkey Qu
Monkey Bt
Monkey Cn
!! Note that, for "Fixation task", the data has been already merged across days!!
"Exp date" refers to the date we uploaded the data for Neurotycho. The dates we conducted the experiments were as below.
Monkey Qu: 20120417, 20120423, 20120424, 20120426
Monkey Bt: 20130708, 20130710, 20130718, 20130723, 20130725, 20130731
Monkey Cn: 20140612, 20140613, 20140616
- Data format
Three types of the mat-files were uploaded for each monkey.
A "ECoG_chXXX.mat" contains ECoG signal recorded from the channel XXX (XXX =001-128). Loading each file, you'll obtain the matrix "data" that is the 2D matrix of trial*time. Each row is an ECoG signal for each trial starting from 1 sec before the onset of the fixation point (FP) onset. Thus for example, you can draw ERP assigned to the FP onset by plot(mean(data,1)).
B "info.mat" contains "prms" (struct) and "eyeData" (cell). "prms" is the time-stamps of the events, the fixation start and the reward delivery, for each trial. For the trials in which the monkey was waiting for the FP onset around the center of the display before the FP turned on, prms.fixStart(n) became 1. "eyeData" contains the horizontal and vertical eye positions in each trial. Note that the sampling rate of the eye positions was 500 Hz that is different from that for ECoG signals (1 kHz).
C "elPosition_XX.mat" is the information about the location of the electrodes on the cortical surface (XX = Qu, Bt. or Cn). You can see the location of the electrodes with the code like this;
load('elPosition_Qu.mat');
figure, imagesc(IMG), axis equal, axis off, hold on, plot(elX,elY,'ko'),
for iCh =1:length(elX)
text(elX(iCh), elY(iCh), sprintf('%d',iCh))
end
