onMEP
onMEP is a Python library for online acquisition of neural recruitment curves.
Citation
Please cite Tyagi et al., 2025 if you find this code useful in your research. The BibTeX entry for the paper is:
@article{tyagi_hierarchical_2025,
title = {Hierarchical {Bayesian} estimation of motor-evoked potential recruitment curves yields accurate and robust estimates},
author = {Tyagi, Vishweshwar and Murray, Lynda M. and Asan, Ahmet S. and Mandigo, Christopher and Virk, Michael S. and Harel, Noam Y. and Carmel, Jason B. and McIntosh, James R.},
journal = {Brain Stimulation},
year = {2025},
doi = {10.1016/j.brs.2025.09.008},
}
Copyright © 2026 The Trustees of Columbia University in the City of New York. All rights reserved.
Metadata
Release files for onmep 0.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| onmep-0.5.0.tar.gz | 28.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| onmep-0.5.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 63.5 kB
Release files / onmep-0.5.0.tar.gz
| Download URL | onmep-0.5.0.tar.gz |
|---|---|
| Size | 28.7 kB |
| Tags | Source |
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Release files / onmep-0.5.0-py3-none-any.whl
| Download URL | onmep-0.5.0-py3-none-any.whl |
|---|---|
| Size | 34.9 kB |
| Tags | Python 3 |
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