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pynifti_pst(1) [debian man page]

PYNIFTI_PST(1)							   User Commands						    PYNIFTI_PST(1)

NAME
pynifti_pst - compute peristimulus timeseries of fMRI data SYNOPSIS
pynifti_pst [options] <4dimage> <outfile> <vol_id | filename> [...] DESCRIPTION
pynifti_pst computes the peristimulus signal timecourse for all voxels in a volume at once. Stimulus onsets can be specified as volume num- bers or times (will be converted into volume numbers using a supplied repetition time). Onsets can be specified directly on the command line, but can also be read from (multiple) files. Such file are assumed to list one onset per line (as the first value). Empty lines are ignored. This enables pynifti_pst to use e.g. FSL's custom EV files. If several files are specified, the read onsets are combined to a sin- gle onset vector. pynifti_pst writes a 4d timeseries image as output. This image can e.g. be loaded into FSLView to look at each voxels signal timecourse in a certain condition by simply clicking on it. OPTIONS
--version show program's version number and exit -h, --help show this help message and exit --verbose print status messages -n NVOLS, --nvols=NVOLS Set the length of the computed peristimulus signal timecourse (in volumes). Default: 10 -t, --times If supplied, the read values are treated as onset times and will be converted to volume numbers. For each onset the volume that is closest in time will be selected. Volumes are assumed to be recorded exactly (and completely) after tr/2, e.g. if 'tr' is 2 secs the first volume is recorded at exactly one second. Please see the --tr and --offset options to learn how to adjust the conversion. --tr=TR Repetition time of the 4d image (temporal difference of two successive volumes). This can be used to override the setting in the 4d image. The repetition time is necessary to convert onset times into volume numbers. If the '--times' option is not set this value has no effect. Please note that repetitions time and the supplied onsets have to be in the same unit. Please note, that if --times is given the tr has to be specified in the same unit as the read onset times. --offset=OFFSET Constant offset applied to the onsets times when converting them to volume numbers. Without setting '-- times' this option has no effect'. -p, --percsigchg Convert the computed timecourse to percent signal change relative to the first (onset) volume. This might not be meaningful when --operation is set to something different than 'mean'. Please note, that the shape of the computes timeseries heavily depends on the first average volume. It might be more meaningful to use a real baseline condition as origin. However, this is not supported yet. Default: False --printvoxel=PRINTVOXEL Print the peristimulus timeseries of a single voxel for all onsets separately. This will print a matrix (onsets x time), where the number of columns is identical to the value of --nvols and the number of rows corresponds to the number of specified onsets. (e.g. 'z,y,x') --operation=OPERATION Choose the math operation that is performed to compute the peristimulus timeseries. By default this is the mean across all stimula- tions ('mean'). Other possibilities are the standard deviation ('std') and standard error ('sde'). pynifti_pst 0.20100412.1 April 2010 PYNIFTI_PST(1)

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AUBIOCUT(1)						      General Commands Manual						       AUBIOCUT(1)

NAME
aubiocut -- a command line tool to extract onsets and tempo from sound files. SYNOPSIS
aubiocut [options] -i soundfile DESCRIPTION
aubiocut attempts to detect onset times, the beginning of discreted sound events, or beat locations, in audio signals. When using the --cut option, aubiocut takes an input sound file and produce small files sliced at onset locations (or silences). The slices can then be sent for example to a player, a sequencer, or a sampler. A plotting module is available via the Gnuplot Python package. OPTIONS
This program follows the usual GNU command line syntax, with long options starting with two dashes (`-'). A summary of options is included below. -i --input filein input sound file -m --mode onset_detection_mode onset detection mode [default=dual] complexdomain|hfc|phase|specdiff|energy|kl|mkl|dual -b --beat detect beats and output beat locations -B --bufsize=BUFSIZE buffer size [default=512] -H --hopsize=HOPSIZE overlap size [default=256] -t --threshold=THRESHOLD onset peak picking threshold [default=0.3] -C --dcthreshold=DCTHRESHOLD onset peak picking DC component [default=1.] -s --silence=SILENCE silence threshold [default=-70] -M --mintol=MINIOI minimum inter onset interval [default=0.048s] -D --delay=DELAY number of seconds to take back [default=system] default system delay is 3*hopsize/samplerate -L --localmin use local minima after peak detection -c --cut cut input sound file at detected labels (best used with option -L) -d --derivate derivate onset detection function -S --silencecut outputs silence locations instead of onset locations -z --zerocross=ZEROTHRES zero-crossing threshold for slicing [default=0.00008] -f --function print detection function -q --quiet be quiet -h --help Show a summary of options. -v --verbose make lots of noise [default] Plotting options When the Python interface to Gnuplot is installed, the following additional options are available. -p --plot draw plot -n --no-onsets do not plot detected onsets, only detection functions -x --xsize=SIZE define horizontal plot size [default=1.] -y --ysize=SIZE define vertical plot size [default=1.] -O --outplot=OUTPLOT save plot to output.{ps,eps,png,svg} instead of displaying it BUGS
For now the program has only been tested on audio signals sampled at 44.1 kHz. SEE ALSO
aubioonset(1) aubiotrack(1) aubionotes(1) aubiopitch(1) AUTHOR
This manual page was written by Paul Brossier (piem@altern.org). Permission is granted to copy, distribute and/or modify this document under the terms of the GNU General Public License, Version 2 any later version published by the Free Software Foundation. On Debian systems, the complete text of the GNU General Public License can be found in /usr/share/common-licenses/GPL. AUBIOCUT(1)
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