http://wiki.neurotycho.org/api.php?action=feedcontributions&user=Mkomatsu&feedformat=atomNeuroTychoWiki - User contributions [en]2024-03-29T10:13:13ZUser contributionsMediaWiki 1.31.0http://wiki.neurotycho.org/index.php?title=Auditory_Oddball_Scripts&diff=86161Auditory Oddball Scripts2023-10-26T07:31:21Z<p>Mkomatsu: /* Preprocessings and ERP plots */</p>
<hr />
<div>We assume that we are in the data folder.<br />
<br />
== Preprocessings and ERP plots ==<br />
<br />
clear; close all; <br />
<br />
DataDir=sprintf(['./']);<br />
nCH=numel(dir([DataDir 'ECoG_ch*']));<br />
n=whos('-file',[DataDir 'ECoG_ch1.mat']);<br />
ECoG=zeros(nCH,n.size(2));<br />
<br />
% load data<br />
load([DataDir 'repEvent']);<br />
for ch=1:nCH<br />
openfile=sprintf('ECoG_ch%d',ch);<br />
ECoG(ch,:)=struct2array(load([DataDir openfile]));<br />
end<br />
ECoG=0.25*ECoG;<br />
<br />
% CMR (Common Median Reference)<br />
mECoG=ECoG-ones(nCH,1)*median(ECoG);<br />
<br />
% bandpass filter with digital filter<br />
Fs=1000;<br />
N=100;<br />
Wn=[1 30]/(Fs/2);<br />
fil=fir1(N,Wn,'bandpass');<br />
meth='FIR digital filter';<br />
fdmdata=filtfilt(fil,1,mECoG')';<br />
<br />
% align on the stimulus onsets<br />
rtime=(-1100:1000);<br />
for t=1:length(repEvent)<br />
fdmrpt(:,t,:)=fdmdata(:,repEvent(t,6)+503*repEvent(t,5)+rtime);<br />
end<br />
<br />
% plot standard and deviant ERPs<br />
figure<br />
for ch=1:nCH<br />
subplot(6,6,ch-36*(ceil(ch/36)-1));<br />
<br />
% trial rejection<br />
data=squeeze(fdmrpt(ch,:,:));<br />
[I K]=find(std(data,[],2)>(mean(std(data,[],2))+3*std(std(data,[],2))));<br />
trial=[1:size(data,1)]; trial(I)=[];<br />
data=data(trial,:);<br />
<br />
% cut data<br />
STD=data(:,rtime>=-603 & rtime<=-3);<br />
DEV=data(:,rtime>=-100 & rtime<=500);<br />
<br />
% base line correction<br />
STD=STD-mean(mean(STD(:,1:100)));<br />
DEV=DEV-mean(mean(DEV(:,1:100)));<br />
<br />
plot(-100:500,mean(STD),'b'); hold on<br />
plot(-100:500,mean(DEV),'g');<br />
plot([0 0],[-15 15],'k'); hold off<br />
set(gca,'XLim',[-100 500],'YLim',[-15 15],'YDir','reverse')<br />
ylabel(['ch' num2str(ch)])<br />
end<br />
<br />
[[File:Demo.jpg|600px]]</div>Mkomatsuhttp://wiki.neurotycho.org/index.php?title=Marmoset_Optogenetics_Details&diff=86160Marmoset Optogenetics Details2017-09-30T03:31:38Z<p>Mkomatsu: </p>
<hr />
<div>== Data format ==<br />
<br />
There are two zip files, each contain data collected from a day of each monkey, including three types of MATLAB files:<br />
<br />
<br />
1. ECoG_chXX.mat: ECoG signals for each electrode with the sampling rate of 1000Hz.<br />
<br />
<br />
2. Event.mat:<br />
<br />
EventTbl(struct) includes the information of each photo stimulation.<br />
<br />
StimTbl_Label: {'Ch' 'Output' 'Trial' 'ITI' 'Start' 'End'}<br />
<br />
StimTbl: {400x6 double}<br />
<br />
-Ch and Output indicate a number of LED and intensity of stimuli, respectively. <br />
<br />
<br />
3. ElectrodesXX.mat: Information of the ECoG electrode locations<br />
<br />
LINE: The outline of the marmoset brain<br />
<br />
MRI: The MRI image of the marmoset brain<br />
<br />
X: X positions of the electrodes<br />
<br />
Y: Y positions of the electrodes<br />
<br />
XL: X positions of the LEDs<br />
<br />
YL: Y positions of the LEDs<br />
<br />
XI: X positions of the injection sites<br />
<br />
YI: Y positions of the injection sites<br />
<br />
== Reference == <br />
<br />
Komatsu M, Sugano E, Tomita H and Fujii N (2017) A Chronically Implantable Bidirectional Neural Interface for Non-human Primates. Front. Neurosci. 11:514. doi:10.3389/fnins.2017.00514</div>Mkomatsuhttp://wiki.neurotycho.org/index.php?title=Marmoset_Optogenetics_Details&diff=86159Marmoset Optogenetics Details2017-09-30T03:22:10Z<p>Mkomatsu: Created page with "== Data format == There are two zip files, each contain data collected from a day of each monkey, including three types of MATLAB files: 1. ECoG_ch*.mat: ECoG signals for e..."</p>
<hr />
<div>== Data format ==<br />
<br />
There are two zip files, each contain data collected from a day of each monkey, including three types of MATLAB files:<br />
<br />
<br />
1. ECoG_ch*.mat: ECoG signals for each electrode with the sampling rate of 1000Hz.<br />
<br />
<br />
2. Event.mat:<br />
<br />
EventTbl includes the information of each photo stimulation.<br />
<br />
StimTbl_Label: {'Ch' 'Output' 'Trial' 'ITI' 'Start' 'End'}<br />
<br />
StimTbl: {400x6 double}<br />
<br />
*Ch and Output indicate a number of LED and intensity of stimuli, respectively. <br />
<br />
<br />
3. ElectrodesXX.mat: Information of the ECoG electrode locations<br />
<br />
LINE: The outline of the marmoset brain<br />
<br />
MRI: The MRI image of the marmoset brain<br />
<br />
X: X positions of the electrodes<br />
<br />
Y: Y positions of the electrodes<br />
<br />
XL: X positions of the LEDs<br />
<br />
YL: Y positions of the LEDs<br />
<br />
XI: X positions of the injection sites<br />
<br />
YI: Y positions of the injection sites<br />
<br />
== Reference == <br />
<br />
Komatsu M, Sugano E, Tomita H and Fujii N (2017) A Chronically Implantable Bidirectional Neural Interface for Non-human Primates. Front. Neurosci. 11:514. doi: <a href="https://www.frontiersin.org/articles/10.3389/fnins.2017.00514/full">10.3389/fnins.2017.00514</a></div>Mkomatsuhttp://wiki.neurotycho.org/index.php?title=Auditory_Oddball_Scripts&diff=86158Auditory Oddball Scripts2016-03-02T07:28:50Z<p>Mkomatsu: </p>
<hr />
<div>We assume that we are in the data folder.<br />
<br />
== Preprocessings and ERP plots ==<br />
<br />
clear; close all; <br />
<br />
DataDir=sprintf(['./']);<br />
nCH=numel(dir([DataDir 'ECoG_ch*']));<br />
n=whos('-file',[DataDir 'ECoG_ch1.mat'],'-regexp','ECoGData_ch1');<br />
ECoG=zeros(nCH,n.size(2));<br />
<br />
% load data<br />
load([DataDir 'repEvent']);<br />
for ch=1:nCH<br />
openfile=sprintf('ECoG_ch%d',ch);<br />
ECoG(ch,:)=struct2array(load([DataDir openfile]));<br />
end<br />
ECoG=0.25*ECoG;<br />
<br />
% CMR (Common Median Reference)<br />
mECoG=ECoG-ones(nCH,1)*median(ECoG);<br />
<br />
% bandpass filter with digital filter<br />
Fs=1000;<br />
N=100;<br />
Wn=[1 30]/(Fs/2);<br />
fil=fir1(N,Wn,'bandpass');<br />
meth='FIR digital filter';<br />
fdmdata=filtfilt(fil,1,mECoG')';<br />
<br />
% align on the stimulus onsets<br />
rtime=(-1100:1000);<br />
for t=1:length(repEvent)<br />
fdmrpt(:,t,:)=fdmdata(:,repEvent(t,6)+503*repEvent(t,5)+rtime);<br />
end<br />
<br />
% plot standard and deviant ERPs<br />
figure<br />
for ch=1:nCH<br />
subplot(6,6,ch-36*(ceil(ch/36)-1));<br />
<br />
% trial rejection<br />
data=squeeze(fdmrpt(ch,:,:));<br />
[I K]=find(std(data,[],2)>(mean(std(data,[],2))+3*std(std(data,[],2))));<br />
trial=[1:size(data,1)]; trial(I)=[];<br />
data=data(trial,:);<br />
<br />
% cut data<br />
STD=data(:,rtime>=-603 & rtime<=-3);<br />
DEV=data(:,rtime>=-100 & rtime<=500);<br />
<br />
% base line correction<br />
STD=STD-mean(mean(STD(:,1:100)));<br />
DEV=DEV-mean(mean(DEV(:,1:100)));<br />
<br />
plot(-100:500,mean(STD),'b'); hold on<br />
plot(-100:500,mean(DEV),'g');<br />
plot([0 0],[-15 15],'k'); hold off<br />
set(gca,'XLim',[-100 500],'YLim',[-15 15],'YDir','reverse')<br />
ylabel(['ch' num2str(ch)])<br />
end<br />
<br />
[[File:Demo.jpg|600px]]</div>Mkomatsuhttp://wiki.neurotycho.org/index.php?title=Auditory_Oddball_Scripts&diff=86157Auditory Oddball Scripts2016-03-02T07:26:50Z<p>Mkomatsu: </p>
<hr />
<div>== A sample script for ERP plots ==<br />
<br />
We assume that we are in the data folder.<br />
<br />
clear; close all; <br />
<br />
DataDir=sprintf(['./']);<br />
nCH=numel(dir([DataDir 'ECoG_ch*']));<br />
n=whos('-file',[DataDir 'ECoG_ch1.mat'],'-regexp','ECoGData_ch1');<br />
ECoG=zeros(nCH,n.size(2));<br />
<br />
% load data<br />
load([DataDir 'repEvent']);<br />
for ch=1:nCH<br />
openfile=sprintf('ECoG_ch%d',ch);<br />
ECoG(ch,:)=struct2array(load([DataDir openfile]));<br />
end<br />
ECoG=0.25*ECoG;<br />
<br />
% CMR (Common Median Reference)<br />
mECoG=ECoG-ones(nCH,1)*median(ECoG);<br />
<br />
% bandpass filter with digital filter<br />
Fs=1000;<br />
N=100;<br />
Wn=[1 30]/(Fs/2);<br />
fil=fir1(N,Wn,'bandpass');<br />
meth='FIR digital filter';<br />
fdmdata=filtfilt(fil,1,mECoG')';<br />
<br />
% align on the stimulus onsets<br />
rtime=(-1100:1000);<br />
for t=1:length(repEvent)<br />
fdmrpt(:,t,:)=fdmdata(:,repEvent(t,6)+503*repEvent(t,5)+rtime);<br />
end<br />
<br />
% plot standard and deviant ERPs<br />
figure<br />
for ch=1:nCH<br />
subplot(6,6,ch-36*(ceil(ch/36)-1));<br />
<br />
% trial rejection<br />
data=squeeze(fdmrpt(ch,:,:));<br />
[I K]=find(std(data,[],2)>(mean(std(data,[],2))+3*std(std(data,[],2))));<br />
trial=[1:size(data,1)]; trial(I)=[];<br />
data=data(trial,:);<br />
<br />
% cut data<br />
STD=data(:,rtime>=-603 & rtime<=-3);<br />
DEV=data(:,rtime>=-100 & rtime<=500);<br />
<br />
% base line correction<br />
STD=STD-mean(mean(STD(:,1:100)));<br />
DEV=DEV-mean(mean(DEV(:,1:100)));<br />
<br />
plot(-100:500,mean(STD),'b'); hold on<br />
plot(-100:500,mean(DEV),'g');<br />
plot([0 0],[-15 15],'k'); hold off<br />
set(gca,'XLim',[-100 500],'YLim',[-15 15],'YDir','reverse')<br />
ylabel(['ch' num2str(ch)])<br />
end<br />
<br />
[[File:Demo.jpg|600px]]</div>Mkomatsuhttp://wiki.neurotycho.org/index.php?title=Auditory_Oddball_Scripts&diff=86156Auditory Oddball Scripts2016-03-02T07:25:55Z<p>Mkomatsu: Created page with "== Sample script for ERP plots == We assume that we are in the data folder. clear; close all; DataDir=sprintf(['./']); nCH=numel(dir([DataDir 'ECoG_ch*'])); n=whos..."</p>
<hr />
<div>== Sample script for ERP plots ==<br />
<br />
We assume that we are in the data folder.<br />
<br />
clear; close all; <br />
<br />
DataDir=sprintf(['./']);<br />
nCH=numel(dir([DataDir 'ECoG_ch*']));<br />
n=whos('-file',[DataDir 'ECoG_ch1.mat'],'-regexp','ECoGData_ch1');<br />
ECoG=zeros(nCH,n.size(2));<br />
<br />
% load data<br />
load([DataDir 'repEvent']);<br />
for ch=1:nCH<br />
openfile=sprintf('ECoG_ch%d',ch);<br />
ECoG(ch,:)=struct2array(load([DataDir openfile]));<br />
end<br />
ECoG=0.25*ECoG;<br />
<br />
% CMR (Common Median Reference)<br />
mECoG=ECoG-ones(nCH,1)*median(ECoG);<br />
<br />
% bandpass filter with digital filter<br />
Fs=1000;<br />
N=100;<br />
Wn=[1 30]/(Fs/2);<br />
fil=fir1(N,Wn,'bandpass');<br />
meth='FIR digital filter';<br />
fdmdata=filtfilt(fil,1,mECoG')';<br />
<br />
% align on the stimulus onsets<br />
rtime=(-1100:1000);<br />
for t=1:length(repEvent)<br />
fdmrpt(:,t,:)=fdmdata(:,repEvent(t,6)+503*repEvent(t,5)+rtime);<br />
end<br />
<br />
% plot standard and deviant ERPs<br />
figure<br />
for ch=1:nCH<br />
subplot(6,6,ch-36*(ceil(ch/36)-1));<br />
<br />
% trial rejection<br />
data=squeeze(fdmrpt(ch,:,:));<br />
[I K]=find(std(data,[],2)>(mean(std(data,[],2))+3*std(std(data,[],2))));<br />
trial=[1:size(data,1)]; trial(I)=[];<br />
data=data(trial,:);<br />
<br />
% cut data<br />
STD=data(:,rtime>=-603 & rtime<=-3);<br />
DEV=data(:,rtime>=-100 & rtime<=500);<br />
<br />
% base line correction<br />
STD=STD-mean(mean(STD(:,1:100)));<br />
DEV=DEV-mean(mean(DEV(:,1:100)));<br />
<br />
plot(-100:500,mean(STD),'b'); hold on<br />
plot(-100:500,mean(DEV),'g');<br />
plot([0 0],[-15 15],'k'); hold off<br />
set(gca,'XLim',[-100 500],'YLim',[-15 15],'YDir','reverse')<br />
ylabel(['ch' num2str(ch)])<br />
end<br />
<br />
[[File:Demo.jpg|600px]]</div>Mkomatsuhttp://wiki.neurotycho.org/index.php?title=File:Demo.jpg&diff=86155File:Demo.jpg2016-03-02T07:06:27Z<p>Mkomatsu: </p>
<hr />
<div></div>Mkomatsuhttp://wiki.neurotycho.org/index.php?title=Main_Page&diff=86154Main Page2016-03-02T06:37:02Z<p>Mkomatsu: </p>
<hr />
<div>'''Wiki for Neurotycho.org'''<br />
<br />
Welcome to Wiki.Neurotycho!<br />
<br />
Project Tycho is named after Tycho Brahe. The project aims to share reliable massive neural and behavioral data for understanding brain mechanism. The dataset was recorded and distributed by Laboratory for Adaptive Intelligence, BSI, RIKEN. It is not only for neuroscientists but for everyone who is interested in learning neural mechanism.<br />
<br />
[[File:Ss.png]]<br />
<br />
<br />
<br />
<br />
<br />
== Menu ==<br />
*Manual<br />
** [[Manual|Install Manual for Python and others]]<br />
** [[Manual_jp|Install manual for Python and others in Japanese]]<br />
<br><br />
*Web application<br />
**[[Begins]]<br />
**[[Begins_jp]]<br />
<br><br />
*Methods<br />
**[[Multi-dimensional Recording]]<br />
***[[ECoG]]<br />
***[[Motion Capture]]<br />
***[[Non-invasive Head Fixture]]<br />
***[[Head Free Eye Tracking]]<br />
***[[Surgical Procedure]]<br />
<br><br />
*Preliminary results<br />
**[[EEG-ECoG recording]]<br />
<br><br />
*Task details<br />
**[[Visual Grating Task Details]]<br />
**[[Emotional Movie Task Details]]<br />
**[[Anesthesia and Sleep Task Details]]<br />
**[[Auditory Oddball Details]]<br />
**[[Fixation Details]]<br />
**[[Visually Guided Saccade Details]]<br />
**[[Passive viewing Details]]<br />
**[[Memory-guided saccade Details]]<br />
<br />
<br><br />
*FAQ for each task<br />
**[[Visual Grating Task]]<br />
**[[Sleep Task]]<br />
**[[Social Competition Task]]<br />
**[[Emotional Movie Task]]<br />
**[[Epidural-ECoG Food-Tracking Task]]<br />
**[[Subdural-ECoG Food-Tracking Task]]<br />
**[[Spatial Map of ECoG array]]<br />
**[[MRI Data]]<br />
<br><br />
*Sample scripts for each task<br />
**[[Auditory Oddball Scripts]]<br />
<br><br />
*Open Lab @ RIKEN BSI<br />
**[[Open Lab|What is Open Lab?]]<br />
<br />
<br />
----<br />
<br />
To the extent possible under law, neurotycho.org has waived all copyright and related or neighboring rights to downloadable dataset in Project Tycho. This work is published from: Japan.</div>Mkomatsuhttp://wiki.neurotycho.org/index.php?title=Auditory_Oddball_Details&diff=86121Auditory Oddball Details2015-10-02T11:02:34Z<p>Mkomatsu: </p>
<hr />
<div>== Data format ==<br />
<br />
There are three zip files, each contain data collected from a day, including three types of MATLAB files:<br />
<br />
<br />
1. ECoG_ch*.mat: ECoG signals for each electrode with the sampling rate of 1000Hz.<br />
<br />
<br />
2. repEvent.mat:<br />
<br />
repEvent includes the information of each tone-train (1-6 columns).<br />
<br />
Column 1: train number<br />
<br />
Column 2: current frequency index<br />
<br />
Column 3: next frequency index<br />
<br />
Column 4: SOA, repetition number<br />
<br />
Column 5: repetition number<br />
<br />
Column 6: time stump of train onset<br />
<br />
Idx2Freq is a table of frequency index and actual frequency.<br />
<br />
<br />
<br />
3. ElectrodesFr.mat: Information of the ECoG electrode locations<br />
<br />
LINE: The outline of the marmoset brain<br />
<br />
X: X positions of the electrodes<br />
<br />
Y: Y positions of the electrodes<br />
<br />
== Reference == <br />
<br />
Komatsu M, Takaura K, Fujii N (2015). “Mismatch negativity in common marmosets: Whole-cortical recordings with multi-channel electrocorticograms.” Scientific Reports (in press).</div>Mkomatsuhttp://wiki.neurotycho.org/index.php?title=Auditory_Oddball_Details&diff=86120Auditory Oddball Details2015-10-02T10:36:29Z<p>Mkomatsu: Created page with "== Data format == There are three zip files, each contain data collected from a day, including three types of MATLAB files: 1. ECoG_ch*.mat: ECoG signals for each electrode wi..."</p>
<hr />
<div>== Data format ==<br />
<br />
There are three zip files, each contain data collected from a day, including three types of MATLAB files:<br />
<br />
<br />
1. ECoG_ch*.mat: ECoG signals for each electrode with the sampling rate of 1000Hz.<br />
<br />
<br />
2. repEvent.mat:<br />
<br />
repEvent includes the information of each tone-train (1-6 columns).<br />
<br />
Column 1: train number<br />
<br />
Column 2: current frequency index<br />
<br />
Column 3: next frequency index<br />
<br />
Column 4: SOA, repetition number<br />
<br />
Column 5: repetition number<br />
<br />
Column 6: time stump of train onset<br />
<br />
Idx2Freq is a table of frequency index and actual frequency.<br />
<br />
3. ElectrodesFr.mat: Information of the ECoG electrode locations<br />
<br />
LINE: The outline of the marmoset brain<br />
<br />
X: X positions of the electrodes<br />
<br />
Y: Y positions of the electrodes<br />
<br />
== Reference == <br />
<br />
Komatsu M, Takaura K, Fujii N (2015). “Mismatch negativity in common marmosets: Whole-cortical recordings with multi-channel electrocorticograms.” Scientific Reports (in press).</div>Mkomatsuhttp://wiki.neurotycho.org/index.php?title=Main_Page&diff=86119Main Page2015-10-02T10:13:20Z<p>Mkomatsu: </p>
<hr />
<div>'''Wiki for Neurotycho.org'''<br />
<br />
Welcome to Wiki.Neurotycho!<br />
<br />
Project Tycho is named after Tycho Brahe. The project aims to share reliable massive neural and behavioral data for understanding brain mechanism. The dataset was recorded and distributed by Laboratory for Adaptive Intelligence, BSI, RIKEN. It is not only for neuroscientists but for everyone who is interested in learning neural mechanism.<br />
<br />
[[File:Ss.png]]<br />
<br />
<br />
<br />
<br />
<br />
== Menu ==<br />
*Manual<br />
** [[Manual|Install Manual for Python and others]]<br />
** [[Manual_jp|Install manual for Python and others in Japanese]]<br />
<br><br />
*Web application<br />
**[[Begins]]<br />
**[[Begins_jp]]<br />
<br><br />
*Methods<br />
**[[Multi-dimensional Recording]]<br />
***[[ECoG]]<br />
***[[Motion Capture]]<br />
***[[Non-invasive Head Fixture]]<br />
***[[Head Free Eye Tracking]]<br />
***[[Surgical Procedure]]<br />
<br><br />
*Preliminary results<br />
**[[EEG-ECoG recording]]<br />
<br><br />
*Task details<br />
**[[Anesthesia and Sleep Task Details]]<br />
**[[Emotional Movie Task Details]]<br />
**[[Auditory Oddball Details]]<br />
<br><br />
*FAQ for each Task<br />
**[[Visual Grating Task]]<br />
**[[Sleep Task]]<br />
**[[Social Competition Task]]<br />
**[[Emotional Movie Task]]<br />
**[[Epidural-ECoG Food-Tracking Task]]<br />
**[[Subdural-ECoG Food-Tracking Task]]<br />
**[[Spatial Map of ECoG array]]<br />
**[[MRI Data]]<br />
<br><br />
*Open Lab @ RIKEN BSI<br />
**[[Open Lab|What is Open Lab?]]<br />
<br />
<br />
----<br />
<br />
To the extent possible under law, neurotycho.org has waived all copyright and related or neighboring rights to downloadable dataset in Project Tycho. This work is published from: Japan.</div>Mkomatsuhttp://wiki.neurotycho.org/index.php?title=Emotional_Movie_Task_Details&diff=86118Emotional Movie Task Details2015-09-16T06:50:09Z<p>Mkomatsu: /* Data format */</p>
<hr />
<div>== Subjects ==<br />
<br />
Subject 1: K2<br />
<br />
Subject 2: Chibi<br />
<br />
Subject 3: Kin2<br />
<br />
== Data format ==<br />
<br />
For each subjects (Subjects 1, 2, and 3), there are three zip files, each contain data collected from a day, including three types of MATLAB files:<br />
<br />
<br />
1. LFP_ch*.mat: ECoG signals for each electrode with the sampling rate of 1000Hz.<br />
<br />
<br />
2. Task_ino.mat: SessionData.MovieSequence includes the sequence of the video clips (in indices 1 to 6).<br />
<br />
Clip 1: CmRf (“cF2_Tama”)<br />
<br />
Clip 2: CwRf (“cF2_WallwSnd”)<br />
<br />
Clip 3: ChRf (“cF2_Yasuo”)<br />
<br />
Clip 4: CmRn (“cN1_Tama”)<br />
<br />
Clip 5: CwRn (“cN1_WallwSnd”) <br />
<br />
Clip 6: ChRn (“cN1_Yasuo”)<br />
<br />
<br />
3. Movie_start_time.mat: Indices of movie onsets<br />
<br />
<br />
4. Electrode_fmri_outline_with_MW.mat: Information of the ECoG electrode locations<br />
<br />
I: The image of electrode layout<br />
<br />
X: X positions of the electrodes<br />
<br />
Y: Y positions of the electrodes<br />
<br />
== Reference == <br />
<br />
Chao ZC, Nagasaka Y, Fujii N (2015). “Cortical network architecture for context processing in primate brain.” eLife.</div>Mkomatsuhttp://wiki.neurotycho.org/index.php?title=Emotional_Movie_Task_Details&diff=86117Emotional Movie Task Details2015-09-16T06:41:16Z<p>Mkomatsu: Undo revision 86116 by Mkomatsu (talk)</p>
<hr />
<div>== Subjects ==<br />
<br />
Subject 1: K2<br />
<br />
Subject 2: Chibi<br />
<br />
Subject 3: Kin2<br />
<br />
== Data format ==<br />
<br />
For each subjects (Subjects 1, 2, and 3), there are three zip files, each contain data collected from a day, including three types of MATLAB files:<br />
<br />
<br />
1. LFP_ch*.mat: ECoG signals for each electrode with the sampling rate of 1000Hz.<br />
<br />
<br />
2. Task_ino.mat: SessionData.MovieSequence includes the sequence of the video clips (in indices 1 to 6).<br />
<br />
1: CmRf (“cF2_Tama”)<br />
<br />
2: CwRf (“cF2_WallwSnd”)<br />
<br />
3: ChRf (“cF2_Yasuo”)<br />
<br />
4: CmRn (“cN1_Tama”)<br />
<br />
5: CwRn (“cN1_WallwSnd”) <br />
<br />
6: ChRn (“cN1_Yasuo”)<br />
<br />
<br />
3. Movie_start_time.mat: Indices of movie onsets<br />
<br />
<br />
4. Electrode_fmri_outline_with_MW.mat: Information of the ECoG electrode locations<br />
<br />
I: The image of electrode layout<br />
<br />
X: X positions of the electrodes<br />
<br />
Y: Y positions of the electrodes<br />
<br />
<br />
== Reference == <br />
<br />
Chao ZC, Nagasaka Y, Fujii N (2015). “Cortical network architecture for context processing in primate brain.” eLife.</div>Mkomatsuhttp://wiki.neurotycho.org/index.php?title=Emotional_Movie_Task_Details&diff=86116Emotional Movie Task Details2015-09-16T06:40:54Z<p>Mkomatsu: </p>
<hr />
<div>== Subjects ==<br />
<br />
Subject 1: K2<br />
<br />
Subject 2: Chibi<br />
<br />
Subject 3: Kin2<br />
<br />
<br />
== Data format ==<br />
<br />
For each subjects (Subjects 1, 2, and 3), there are three zip files, each contain data collected from a day, including three types of MATLAB files:<br />
<br />
<br />
1. LFP_ch*.mat: ECoG signals for each electrode with the sampling rate of 1000Hz.<br />
<br />
<br />
2. Task_ino.mat: SessionData.MovieSequence includes the sequence of the video clips (in indices 1 to 6).<br />
<br />
1: CmRf (“cF2_Tama”)<br />
<br />
2: CwRf (“cF2_WallwSnd”)<br />
<br />
3: ChRf (“cF2_Yasuo”)<br />
<br />
4: CmRn (“cN1_Tama”)<br />
<br />
5: CwRn (“cN1_WallwSnd”) <br />
<br />
6: ChRn (“cN1_Yasuo”)<br />
<br />
<br />
3. Movie_start_time.mat: Indices of movie onsets<br />
<br />
<br />
4. Electrode_fmri_outline_with_MW.mat: Information of the ECoG electrode locations<br />
<br />
I: The image of electrode layout<br />
<br />
X: X positions of the electrodes<br />
<br />
Y: Y positions of the electrodes<br />
<br />
<br />
== Reference == <br />
<br />
Chao ZC, Nagasaka Y, Fujii N (2015). “Cortical network architecture for context processing in primate brain.” eLife.</div>Mkomatsu