This package demonstrates the use of the across-patient and cohort movement decoding model, presented in the publication "Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants" [1].
We recommend installing the package using rye:
git clone https://github.com/neuromodulation/AcrossPatientDecodingModel.git rye pin 3.10 rye sync .\.venv\Scripts\activate
An example script, including the respective feature estimation, is shown in the src/run_model.py.
import py_neuromodulation as nm
import skops
model = skops.io.load("movement_decoder.skops")
stream = nm.Stream(...)
features = stream.run()
model.predict(features.to_numpy())
| [1] | Merk, T. et al. Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants, https://doi.org/10.21203/rs.3.rs-3212709/v1 (2023). |