A workflow manager for processing and modeling neural timeseries
- numpy >= 1.22.4
- fooof >= 1.0.0
- bycycle @ git+https://github.com/bycycle-tools/bycycle.git@main
- plotly >= 4.10.0
- scikit-learn == 0.24.1
- scikit-image == 0.18.1
- emd == 0.4.0
Ndspflow provides a framework to define and execute neural data analysis workflows, from raw data to final model.
- Reproducible and standardized analyses
- Compatible with BIDS, simulated, or user-defined input signals
- Interfaces with any DSP package (scipy, numpy, mne, neurodsp, etc.)
- Supports a variety of models (fooof, bycycle, scikit-learn, etc.)
- Full workflow parallelization.
$ git clone [email protected]:voytekresearch/ndspflow.git
$ cd ndspflow
$ pip install .Supported by NIH award R01 GM134363
