bdpy 0.14rc4

Brain decoder toolbox for Python

BdPy

Python package for brain decoding analysis

Requirements

• Python 2.7, 3.6, or later
• numpy
• scipy
• scikit-learn
• h5py

Optional requirements

• 'dataform' module
  • pandas
• 'mri' module
  • nipy

Installation

$ pip install bdpy

Packages

• bdata: BdPy data format (BData)
• dataform: Data format
• distcomp: Distributed computation
• dl: Deep learning
• feature: DNN features
• fig: Making figures
• ml: Machine learning
• mri: MRI
• opendata: Open data
• preproc: Preprocessing
• stats: Statistics
• util: Miscellaneous utilities

BdPy data format

BdPy data format (or BrainDecoderToolbox2 data format; BData) consists of two variables: dataset and metadata. dataset stores brain activity data (e.g., voxel signal value for fMRI data), target variables (e.g., ID of stimuli for vision experiments), and additional information specifying experimental design (e.g., run and block numbers for fMRI experiments). Each row corresponds to a single 'sample', and each column representes either single feature (voxel), target, or experiment design information. metadata contains data describing meta-information for each column in dataset.

See BData API examples for useage of BData.

For developers

Please send your pull requests to dev branch, not to master.

Contributors

• Shuntaro C. Aoki (Kyoto Univ)
• Misato Tanaka (DNI, ATR)