| afni-data |
|
|
|
afni-atlases |
standard space brain atlases for AFNI |
| ants |
|
|
|
ants |
advanced normalization tools for brain and image analysis |
| arno-iptables-firewall |
|
|
|
arno-iptables-firewall |
single- and multi-homed firewall script with DSL/ADSL support |
| biosig4c++ |
|
|
|
biosig-tools |
format conversion tools for biomedical data formats |
|
|
libbiosig-dev |
I/O library for biomedical data - development files |
|
|
libbiosig1 |
I/O library for biomedical data - dynamic library |
|
|
libbiosig1-dbg |
I/O library for biomedical data - debug symbols |
|
|
octave-biosig |
Octave bindings for BioSig library |
|
|
python-biosig |
Python bindings for BioSig library |
| brian |
|
|
|
python-brian |
simulator for spiking neural networks |
|
|
python-brian-doc |
simulator for spiking neural networks - documentation |
|
|
python-brian-lib |
simulator for spiking neural networks -- extensions |
| cde |
|
|
|
cde |
package everything required to execute a Linux command on another computer |
| cmtk |
|
|
|
cmtk |
Computational Morphometry Toolkit |
| connectome-workbench |
|
|
|
connectome-workbench |
brain visualization, analysis and discovery tool |
|
|
connectome-workbench-dbg |
brain visualization, analysis and discovery tool -- debug symbols |
| dipy |
|
|
|
python-dipy |
toolbox for analysis of MR diffusion imaging data |
|
|
python-dipy-doc |
toolbox for analysis of MR diffusion imaging data -- documentation |
|
|
python-dipy-lib |
toolbox for analysis of MR diffusion imaging data -- extensions |
| garmindev |
|
|
|
qlandkartegt-garmin |
QLandkarteGT plugins to access Garmin devices |
| gifticlib |
|
|
|
gifti-bin |
tools shipped with the GIFTI library |
|
|
libgiftiio-dev |
IO library for the GIFTI cortical surface data format |
|
|
libgiftiio0 |
IO library for the GIFTI cortical surface data format |
| haxby2001 |
|
|
|
haxby2001-faceobject |
face and object processing in ventral temporal cortex (fMRI) |
|
|
haxby2001-faceobject-subject1 |
face and object processing in ventral temporal cortex (fMRI) |
|
|
haxby2001-faceobject-subject2 |
face and object processing in ventral temporal cortex (fMRI) |
|
|
haxby2001-faceobject-subject3 |
face and object processing in ventral temporal cortex (fMRI) |
|
|
haxby2001-faceobject-subject4 |
face and object processing in ventral temporal cortex (fMRI) |
|
|
haxby2001-faceobject-subject5 |
face and object processing in ventral temporal cortex (fMRI) |
|
|
haxby2001-faceobject-subject6 |
face and object processing in ventral temporal cortex (fMRI) |
| jist |
|
|
|
jist |
Java Image Science Toolkit |
| kbibtex |
|
|
|
kbibtex |
BibTeX editor for KDE |
| klustakwik |
|
|
|
klustakwik |
automatic sorting of the samples (spikes) into clusters |
| libgdf |
|
|
|
gdf-tools |
IO library for the GDF -- helper tools |
|
|
libgdf-dev |
IO library for the GDF -- development library |
|
|
libgdf0 |
IO library for the GDF (general dataformat for biosignals) |
|
|
libgdf0-dbg |
IO library for the GDF -- debug symbols |
|
|
matlab-gdf |
IO library for the GDF -- Matlab interface |
|
|
octave-gdf |
IO library for the GDF -- Octave interface |
| lipsia |
|
|
|
lipsia |
analysis suite for MRI and fMRI data |
|
|
lipsia-doc |
documentation for LIPSIA |
| mipav |
|
|
|
mipav |
quantitative analysis and visualization of medical images |
| mlpy |
|
|
|
python-mlpy |
high-performance Python package for predictive modeling |
|
|
python-mlpy-doc |
documention and examples for mlpy |
|
|
python-mlpy-lib |
low-level implementations and bindings for mlpy |
| mni-colin27 |
|
|
|
mni-colin27-minc |
Talairach stereotaxic space template |
|
|
mni-colin27-nifti |
Talairach stereotaxic space template |
| mni-icbm152-nlin |
|
|
|
mni-icbm152-nlin-2009a |
MNI stereotaxic space human brain template |
|
|
mni-icbm152-nlin-2009b |
MNI stereotaxic space human brain template |
|
|
mni-icbm152-nlin-2009c |
MNI stereotaxic space human brain template |
| mpi4py |
|
|
|
python-mpi4py |
bindings of the Message Passing Interface (MPI) standard |
|
|
python-mpi4py-dbg |
bindings of the MPI standard -- debug symbols |
|
|
python-mpi4py-doc |
bindings of the MPI standard -- documentation |
|
|
python3-mpi4py |
bindings of the Message Passing Interface (MPI) standard |
|
|
python3-mpi4py-dbg |
bindings of the MPI standard -- debug symbols |
| neurosynth |
|
|
|
python-neurosynth |
large-scale synthesis of functional neuroimaging data |
| nibabel |
|
|
|
python-nibabel |
Python bindings to various neuroimaging data formats |
|
|
python-nibabel-doc |
documentation for NiBabel |
|
|
python3-nibabel |
Python3 bindings to various neuroimaging data formats |
| nibabel-snapshot |
|
|
|
python-nibabel-snapshot |
Python bindings to various neuroimaging data formats |
| nipy |
|
|
|
python-nipy |
Analysis of structural and functional neuroimaging data |
|
|
python-nipy-doc |
documentation and examples for NiPy |
|
|
python-nipy-lib |
Analysis of structural and functional neuroimaging data |
|
|
python-nipy-lib-dbg |
Analysis of structural and functional neuroimaging data |
| nipy-suite |
|
|
|
nipy-suite |
Neuroimaging in Python |
|
|
nipy-suite-doc |
Neuroimaging in Python -- documentation |
| nipype |
|
|
|
python-nipype |
Neuroimaging data analysis pipelines in Python |
|
|
python-nipype-doc |
Neuroimaging data analysis pipelines in Python -- documentation |
| nitime |
|
|
|
python-nitime |
timeseries analysis for neuroscience data (nitime) |
|
|
python-nitime-doc |
timeseries analysis for neuroscience data (nitime) -- documentation |
| openelectrophy |
|
|
|
openelectrophy |
data analysis framework for intra- and extra-cellular recordings |
|
|
python-pyssdh |
data analysis framework for intra- and extra-cellular recordings |
| openmeeg |
|
|
|
libopenmeeg-dev |
openmeeg library -- development files |
|
|
libopenmeeg1 |
library for solving EEG and MEG forward and inverse problems |
|
|
openmeeg-tools |
openmeeg library -- command line tools |
|
|
python-openmeeg |
openmeeg library -- Python bindings |
| openpyxl |
|
|
|
python-openpyxl |
module to read/write OpenXML xlsx/xlsm files |
|
|
python3-openpyxl |
module to read/write OpenXML xlsx/xlsm files |
| openwalnut |
|
|
|
libopenwalnut1 |
Framework for multi-modal medical and brain data visualization |
|
|
libopenwalnut1-dev |
Development files for the OpenWalnut visualization framework |
|
|
libopenwalnut1-doc |
Developer documentation for the OpenWalnut visualization framework |
|
|
openwalnut-modules |
Loaders, algorithms and visualization modules for OpenWalnut |
|
|
openwalnut-qt4 |
Qt based user interface for OpenWalnut |
| pandas |
|
|
|
python-pandas |
data structures for "relational" or "labeled" data |
|
|
python-pandas-doc |
documentation and examples for pandas |
|
|
python-pandas-lib |
low-level implementations and bindings for pandas |
|
|
python3-pandas |
data structures for "relational" or "labeled" data - Python 3 |
|
|
python3-pandas-lib |
low-level implementations and bindings for pandas - Python 3 |
| patsy |
|
|
|
python-patsy |
statistical models in Python using symbolic formulas |
|
|
python-patsy-doc |
documentation and examples for patsy |
|
|
python3-patsy |
statistical models in Python using symbolic formulas |
| psychopy |
|
|
|
psychopy |
environment for creating psychology stimuli in Python |
| psychtoolbox-3 |
|
|
|
octave-psychtoolbox-3 |
toolbox for vision research -- Octave bindings |
|
|
psychtoolbox-3-common |
toolbox for vision research -- arch/interpreter independent part |
|
|
psychtoolbox-3-dbg |
toolbox for vision research -- debug symbols for binaries |
|
|
psychtoolbox-3-lib |
toolbox for vision research -- arch-specific parts |
| psychtoolbox-3-nonfree |
|
|
|
matlab-psychtoolbox-3 |
toolbox for vision research -- Matlab bindings |
|
|
matlab-psychtoolbox-3-nonfree |
toolbox for vision research -- Matlab binary blobs |
|
|
octave-psychtoolbox-3-nonfree |
toolbox for vision research -- Octave binary blobs |
| pydicom |
|
|
|
python-dicom |
DICOM medical file reading and writing |
| pyepl |
|
|
|
python-pyepl |
module for coding psychology experiments in Python |
|
|
python-pyepl-common |
module for coding psychology experiments in Python |
| pyglet |
|
|
|
python-pyglet |
cross-platform windowing and multimedia library |
| pymc |
|
|
|
python-pymc |
Bayesian statistical models and fitting algorithms |
|
|
python-pymc-doc |
Bayesian statistical models and fitting algorithms |
| pymvpa |
|
|
|
python-mvpa |
multivariate pattern analysis with Python |
|
|
python-mvpa-doc |
documentation and examples for PyMVPA |
|
|
python-mvpa-lib |
low-level implementations and bindings for PyMVPA |
| pyoptical |
|
|
|
python-pyoptical |
python interface to the CRS 'OptiCAL' photometer |
| python-mne |
|
|
|
python-mne |
Python modules for MEG and EEG data analysis |
| python-traits |
|
|
|
python-traits4 |
Manifest typing and reactive programming for Python |
| pyxid |
|
|
|
python-pyxid |
interface for Cedrus XID and StimTracker devices |
| pyxnat |
|
|
|
python-pyxnat |
Interface to access neuroimaging data on XNAT servers |
| qlandkartegt |
|
|
|
qlandkarte |
Transitional package for QLandkarteGT |
|
|
qlandkartegt |
GPS mapping (GeoTiff and vector) and GPSr management |
| scikit-learn |
|
|
|
python-scikits-learn |
transitional compatibility package for scikits.learn -> sklearn migration |
|
|
python-sklearn |
Python modules for machine learning and data mining |
|
|
python-sklearn-doc |
documentation and examples for scikit-learn |
|
|
python-sklearn-lib |
low-level implementations and bindings for scikit-learn |
| seaborn |
|
|
|
python-seaborn |
statistical visualization library |
|
|
python3-seaborn |
statistical visualization library |
| sigviewer |
|
|
|
sigviewer |
GUI viewer for biosignals such as EEG, EMG, and ECG |
| spykeutils |
|
|
|
python-spykeutils |
utilities for analyzing electrophysiological data |
| spykeviewer |
|
|
|
spykeviewer |
graphical utility for analyzing electrophysiological data |
| statsmodels |
|
|
|
python-scikits.statsmodels |
transitional compatibility package for statsmodels migration |
|
|
python-statsmodels |
Python module for the estimation of statistical models |
|
|
python-statsmodels-doc |
documentation and examples for statsmodels |
|
|
python-statsmodels-lib |
low-level implementations and bindings for statsmodels |
| xppaut |
|
|
|
xppaut |
Phase Plane Plus Auto: Solves many kinds of equations |
