Python package for brain decoding analysis
dataform
module
dl.caffe
module
dl.torch
module
fig
module
bdpy.ml
module
mri
module
recon.torch
module
Latest stable release:
$ pip install bdpy
To install the latest development version ("master" branch of the repository), please run the following command.
$ pip install git+https://github.com/KamitaniLab/bdpy.git
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.