Nilearn

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Software (help)
Nilearn
Description: missing description
Developer: missing developer
Language: Python
License: BSD License
Link: https://nilearn.github.io/
Database(s):
Feature(s): Neuroimaging visualization, Neuroimaging analysis

Nilearn is a Python package included utilities for machine learning for neuroimaging.

The tool for download and documentation is available from:

https://nilearn.github.io/

It is developed from:

https://github.com/nilearn/nilearn

The package is also available from PyPI.

The package contains a range of submodules for data sets downloading, "decoding", matrix decomposition, image manipulations, loading, masking, mass-univariate analysis, neuroimaging visualization and time series analysis.

The downloading module may download a range of data sets and human brain atlases, e.g.:

  1. Harvard-Oxford Atlas
  2. ICBM152
  3. Craddock 2011 Atlas from A whole brain fMRI atlas generated via spatially constrained spectral clustering
  4. From Correspondence of the brain's functional architecture during activation and rest and Behavioral interpretations of intrinsic connectivity networks

Among the contributors to Nilearn are Gaël Varoquaux, Alexandre Abraham and Loïc Estève.

[edit] Python

Getting data (from https://nilearn.github.io/building_blocks/manipulating_mr_images.html):

>>> from nilearn import datasets
>>> haxby_files = datasets.fetch_haxby(n_subjects=1)

Data is downloaded to the nilearn_data subdirectory.

[edit] Paper

  1. Machine learning for neuroimaging with scikit-learn
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