Difference between revisions of "Visually Guided Saccade Details"

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(Created page with "- ''Subjects'' Monkey Qu Monkey Bt Monkey Cn '''!! Note that, for "Visually guided saccade task", the data has already merged across days!! ''' "Exp date" refers to the dat...")
 
 
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Monkey Qu
 
Monkey Qu
 
Monkey Bt
 
  
 
Monkey Cn
 
Monkey Cn
  
  
'''!! Note that, for "Visually guided saccade task", the data has already merged across days!!
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'''!! Note that, for "Visually guided saccade task", the data has been already merged across days!!
 
'''
 
'''
  
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Monkey Qu: 20120417, 20120423, 20120424, 20120426
 
Monkey Qu: 20120417, 20120423, 20120424, 20120426
 
Monkey Bt: 201201708, 20130710, 20130718, 20130723, 20130725, 20130731
 
  
 
Monkey Cn: 20140612, 20140613, 20140616
 
Monkey Cn: 20140612, 20140613, 20140616
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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, the reward delivery, the saccade-target onset, the start of the saccade (detected online), and the position of the target (polar angle and eccentricity) 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).
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B '''"info.mat"''' contains "prms" (struct) and "eyeData" (cell). "prms" is the time-stamps of the events and the task parameters (see below ''i)'' for the details) for each trial. The time zero is the timing of the FP onset. 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).
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i) The field names of "prms"
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fixStart : the time of the fixation start
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rewOn: the time of the reward delivery
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tgOn: the time of the target onset
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saccOn: the time of the saccade detected online
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tgPolarAngle: the polar angle of the ST position
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tgEcc: the eccentricity of the ST position
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ii) Basically we adopted the block-design. Each block contained about a few hundred trials. Within a block, the position of the target was fixed in terms of the eccentricity, and the number of the possible positions was 4 for each block, which means, the polar angle of the target was 45, 135, 225, or 315 in some blocks, and  90, 180, 270 or 360 in the other blocks.
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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 11:23, 12 February 2016

- Subjects

Monkey Qu

Monkey Cn


!! Note that, for "Visually guided saccade 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 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 and the task parameters (see below i) for the details) for each trial. The time zero is the timing of the FP onset. 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).


i) The field names of "prms"

fixStart : the time of the fixation start

rewOn: the time of the reward delivery

tgOn: the time of the target onset

saccOn: the time of the saccade detected online

tgPolarAngle: the polar angle of the ST position

tgEcc: the eccentricity of the ST position


ii) Basically we adopted the block-design. Each block contained about a few hundred trials. Within a block, the position of the target was fixed in terms of the eccentricity, and the number of the possible positions was 4 for each block, which means, the polar angle of the target was 45, 135, 225, or 315 in some blocks, and 90, 180, 270 or 360 in the other blocks.


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