- For additional information, see http://kendrickkay.net/analyzePRF/
%%%%%%%%%%%%%%%%%% INSTRUCTIONS FOR PRESENTING STIMULI
- quit all unnecessary applications
- consider turning off networking
- plug in the power cord (if laptop)
- change to a directory where you want to save the stimulus presentation .mat files
- start an experiment by running the runretinotopy.m script
- to quit a run early, press ESC
- the run starts when a "t" is detected on the keyboard (this is configurable in the script file)
- make sure the stimulus starts at exactly the right time! (the <tfun> input prints out a
message to the command window when the trigger is detected.)
- after a run completes, a .mat file is written out with timing information and button
press information. these are important; keep these files!
- make sure to test an entire run (with button presses and so forth) before an actual scan!
%%%%%%%%%%%%%%%%%% INFORMATION ON THE STIMULI
- there are several types of experiments, and they are numbered as follows:
89. wedges CCW
90. wedges CW
91. rings expand
92. rings contract
93. multidirectional bars
94. wedge/ring combination
- each of the five run types is exactly 300 seconds long
- there are some rest periods at the beginning and end and in the middle of the runs.
the subject should always be fixating the central dot and doing the task.
- stimuli are constructed for a resolution of 768 pixels
- it is assumed the refresh rate of the display is 60 Hz
- either run at 1024 x 768 or a higher resolution (in which case the stimuli won't
fill the whole display)
%%%%%%%%%%%%%%%%%% INFORMATION ON THE TASK
- the task is a fixation task. there is a central dot that can take on different colors.
the dot switches color randomly. the time between switches is chosen randomly
(uniformly) within a certain range. these properties are all configurable in the
runretinotopy.m script.
- a suggested task is to press a button whenever the dot color changes.
%%%%%%%%%%%%%%%%%% TIMING ISSUES
- there are exactly 300 seconds in each run
- the refresh rate of the stimulus is 15 Hz, so there are 4500 frames in each run
- the stimulus presentation code attempts to compensate for any glitches (missed frames).
after the stimulus is complete, make sure the number of glitches reported is low
(e.g. 5 or less).
- after the presentation of the stimulus is finished, some information is output to the
screen regarding timing. important here is the actual empirical time that it took to
show the stimulus. this number may not be exactly 300.000 s because the display device
may not actually be at 60 Hz (e.g. it might run at 60.2 Hz). make sure to test a
complete stimulus run with the laptop computer connected to the display device to
see what the precise time is.
- I like to set the TR to be exactly the time that is necessary, so that the total
duration of the scan is exactly the total duration of the stimulus presentation.
- for ease of analysis, it would be nice if the TR was either 1 second or 2 seconds
(so that you get 300 or 150 volumes per run). (of course, the precise number might
be something like 998.952 ms or 2002.056 ms if you are trying to get it precisely
matched to the stimulus computer.)
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MATLAB utility functions written by Kendrick Kay.zip
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MATLAB utility functions written by Kendrick Kay.zip (461个子文件)
getpid.c 287B
showmulticlass.m 121KB
ptviewmovie.m 65KB
runfacedetection.m 41KB
fitnonlinearmodel.m 26KB
gradientdescent.m 24KB
applymultiscalegaborfilters.m 18KB
constructpolynomialmatrix3d.m 17KB
undistortvolumes.m 15KB
dicomloaddir.m 14KB
motioncorrectvolumes.m 12KB
socmodel.m 11KB
ptviewimage.m 10KB
applymultiscalegaussianfilters.m 10KB
matchfiles.m 10KB
sgerun2.m 9KB
fitnonlinearmodel_helper.m 9KB
viewmovie.m 9KB
fmriquality.m 8KB
cmapturbo.m 8KB
homogenizevolumes.m 7KB
localregression4d.m 7KB
preconditionvolume.m 7KB
defineellipse3d.m 6KB
localregression3d.m 6KB
getcanonicalhrf.m 6KB
makeimagestack.m 6KB
drawmultiscale.m 5KB
pton.m 5KB
calcnoiseceiling.m 5KB
runkmeans.m 5KB
constructpolynomialmatrix2d.m 5KB
loadbinary.m 5KB
smoothvolumes.m 5KB
scatterline.m 5KB
localregression2d.m 4KB
placeimageintosquare.m 4KB
calcfixationdotchangeperformance.m 4KB
ptviewmoviecheck.m 4KB
getsamplehrf.m 4KB
write3dstack.m 4KB
calccod.m 4KB
calccorrelation.m 4KB
tseriesinterp.m 4KB
localregression.m 4KB
normalizerange.m 4KB
fitgaussian2doriented.m 4KB
scatterb.m 4KB
drawarrow.m 4KB
fit3dpolynomialmodel.m 3KB
findtailthreshold.m 3KB
calcmutualinformationcontinuous.m 3KB
concatimages.m 3KB
calcconfusionmatrix.m 3KB
makegabor2d.m 3KB
calcoptimalhistbins.m 3KB
flattenspectra.m 3KB
outputfcnplot.m 3KB
fitrectdensity.m 3KB
changevolumeres.m 3KB
drawdartboard.m 3KB
imagesearch.m 3KB
fit3dpolynomialmodel2.m 3KB
coregistervolumes.m 3KB
applyfiltermultidim.m 3KB
niiload.m 3KB
fit2dpolynomialmodel.m 3KB
hist1dimage.m 3KB
constructbutterfilter3D.m 3KB
printnice.m 3KB
fitgabor2d.m 3KB
loadmulti.m 3KB
localregressionbandwidth.m 3KB
sincshift.m 3KB
expdesignefficiency.m 3KB
raw2dload.m 3KB
errorbar3.m 3KB
drawcheckerboards.m 3KB
resliceniftitomatch.m 3KB
drawpolargrid.m 3KB
renderfigure.m 3KB
unitlength.m 3KB
runretinotopy.m 3KB
makecircleimage.m 2KB
makeimagestack3dfiles.m 2KB
fitgaussian2d.m 2KB
randnmulti.m 2KB
fitdivnorm.m 2KB
makegaussian2d.m 2KB
fitline2derror.m 2KB
imresizedifferentfov.m 2KB
constructsmoothingfilter.m 2KB
generaterandomphase.m 2KB
drawclosedcontour.m 2KB
zerodiv.m 2KB
fitorientedgaussian2d.m 2KB
constructstimulusmatrices.m 2KB
condition_split.m 2KB
evalgaussian3d.m 2KB
imagesequencetomovie.m 2KB
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