Paketti: science-neuroscience-cognitive (1.10)

[ Source: debian-science  ]

Debian Science packages for Cognitive Neuroscience

This metapackage will install Debian packages which might be useful for scientists doing cognitive neuroscience research. This comprises the full research process from conducting psychophysical experiments, over data acquisition and analysis, to visualization and typesetting of scientific results.

The selection of packages is targeting the application of analysis techniques. Methods developers are referred to the science-statistics, science-imageanalysis, science-numericalcomputation, med-imaging, and med-imaging-dev metapackages for a variety of additional software that might be useful in the context of cognitive neuroscience.

Tagit: Role: Metapackage

Muut pakettiin science-neuroscience-cognitive liittyvät paketit

• dep: science-config (= 1.10)

  Debian Science Project config package

• dep: science-tasks (= 1.10)

  Debian Science tasks for tasksel

• rec: amide

  software for Medical Imaging

• rec: dicom3tools

  DICOM medical image files manipulation and conversion tools

• rec: dicomnifti

  converts DICOM files into the NIfTI format

• rec: itksnap

  semi-automatic segmentation of structures in 3D images

• rec: medcon

  Medical Image (DICOM, ECAT, ...) conversion tool

• rec: minc-tools

  MNI medical image format tools

• rec: mriconvert

  medical image file conversion utility

• rec: mricron

  magnetic resonance image conversion, viewing and analysis

• rec: nifti-bin

  tools shipped with the NIfTI library

• rec: nifti2dicom

  convert 3D medical images to DICOM 2D series

• rec: praat

  puheanalyysi- ja puhesynteesiohjelma

• rec: psignifit

  Fitting and testing hypotheses about psychometric functions

• rec: python-dicom

  transitional package for python-pydicom
  myös näennäispaketti, jonka toteuttaa python-pydicom

• rec: python-nibabel

  Python bindings to various neuroimaging data formats

• rec: python-nipy

  Analysis of structural and functional neuroimaging data

• rec: python-nipype

  Neuroimaging data analysis pipelines in Python

• rec: python-nitime

  timeseries analysis for neuroscience data (nitime)

• rec: python-pyepl

  module for coding psychology experiments in Python

• rec: python-pyxnat

  Interface to access neuroimaging data on XNAT servers

• rec: python-statsmodels

  Python module for the estimation of statistical models

• rec: qnifti2dicom

  convert 3D medical images to DICOM 2D series (gui)

• rec: voxbo

  processing, statistical analysis, and display of brain imaging data

• rec: xmedcon

  Medical Image (DICOM, ECAT, ...) conversion tool (GUI)

• sug: afni

  Paketti ei saatavilla

• sug: bioimagesuite

  Paketti ei saatavilla

• sug: brainvisa

  Paketti ei saatavilla

• sug: caret

  Paketti ei saatavilla

• sug: connectomeviewer

  Interactive Analysis and Visualization for MR Connectomics

• sug: debruijn

  Paketti ei saatavilla

• sug: eeglab

  Paketti ei saatavilla

• sug: fieldtrip

  Paketti ei saatavilla

• sug: freesurfer

  Paketti ei saatavilla

• sug: fsl

  transitional dummy package
  myös näennäispaketti, jonka toteuttaa fsl-5.0-core

• sug: fslview

  Paketti ei saatavilla

• sug: hid

  Paketti ei saatavilla

• sug: iqr

  Paketti ei saatavilla

• sug: lipsia

  Paketti ei saatavilla

• sug: mni-autoreg

  Paketti ei saatavilla

• sug: mni-n3

  Paketti ei saatavilla

• sug: openmeeg-tools

  Paketti ei saatavilla

• sug: openwalnut-qt4

  Paketti ei saatavilla

• sug: pysurfer

  Paketti ei saatavilla

• sug: python-dipy

  Paketti ei saatavilla

• sug: python-mvpa2

  Paketti ei saatavilla

• sug: python-pypsignifit

  Paketti ei saatavilla

• sug: science-psychophysics

  Debian Science packages for Psychophysics

• sug: science-typesetting

  Debian Science typesetting packages

• sug: slicer

  Paketti ei saatavilla

• sug: spm8

  Paketti ei saatavilla

• sug: xnat

  Paketti ei saatavilla

Imuroi science-neuroscience-cognitive

Imurointi kaikille saataville arkkitehtuureille

Arkkitehtuuri	Paketin koko	Koko asennettuna	Tiedostot
all	18.3 kt	38.0 kt	[tiedostoluettelo]