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.
FAQs
Brain decoder toolbox for Python
We found that bdpy demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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