Visually Guided Saccade Details - Revision history

WikiSysop at 02:23, 12 February 2016

2016-02-12T02:23:56Z

WikiSysop at 02:22, 12 February 2016

2016-02-12T02:22:13Z

WikiSysop at 02:19, 12 February 2016

2016-02-12T02:19:59Z

WikiSysop at 12:30, 8 February 2016

2016-02-08T12:30:26Z

WikiSysop at 12:30, 8 February 2016

2016-02-08T12:30:06Z

WikiSysop at 12:28, 8 February 2016

2016-02-08T12:28:17Z

WikiSysop at 12:27, 8 February 2016

2016-02-08T12:27:33Z

WikiSysop: 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..."

2016-02-08T12:17:41Z

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..."

New page

- ''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 date we uploaded the data for Neurotycho. The dates we conducted the experiments were as below.

Monkey Qu: 20120417, 20120423, 20120424, 20120426

Monkey Bt: 201201708, 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, 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).

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

@@ Line 22: / Line 22: @@
 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 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).
+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).
-The field names of "prms"
+i) The field names of "prms"
 fixStart : the time of the fixation start
@@ Line 40: / Line 40: @@
-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.
+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;

@@ Line 22: / Line 22: @@
 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* 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).
+B '''"info.mat"''' contains "prms" (struct) and "eyeData" (cell). "prms" is the time-stamps of the events and the task parameters (see below 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).
-*The field names of "prms"
+The field names of "prms"
 fixStart : the time of the fixation start

@@ Line 2: / Line 2: @@
 Monkey Qu
 Monkey Cn
@@ Line 14: / Line 12: @@
 Monkey Qu: 20120417, 20120423, 20120424, 20120426
 Monkey Cn: 20140612, 20140613, 20140616
@@ Line 26: / Line 22: @@
 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 - such as the timing of the fixation start, the reward delivery, the target onset, the start of the saccade (detected online) - and the information of the target - polar angle and eccentricity - 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).
+B '''"info.mat"''' contains "prms" (struct) and "eyeData" (cell). "prms" is the time-stamps of the events and the task parameters* 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).
 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.

← Older revision		Revision as of 12:30, 8 February 2016
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−	'''!! Note that, for "Visually guided saccade task", the data has already merged across days!!	+	'''!! Note that, for "Visually guided saccade task", the data has been already merged across days!!
	'''		'''

@@ Line 26: / Line 26: @@
 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 - such as the timing of the fixation start, the reward delivery, the target onset, the start of the saccade (detected online) - and the information 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).
+B '''"info.mat"''' contains "prms" (struct) and "eyeData" (cell). "prms" is the time-stamps of the events - such as the timing of the fixation start, the reward delivery, the target onset, the start of the saccade (detected online) - and the information of the target - polar angle and eccentricity - 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).
 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.