Skip to main content

onMEP

onMEP is a Python library for online acquisition of neural recruitment curves.

Cite Cite

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)

Source distribution for onmep 0.5.0
File Size Uploaded
onmep-0.5.0.tar.gz 28.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for onmep 0.5.0
File Interpreter ABI Platform
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
SHA-256 checksum
How to use checksums
5bdb439a6d5c02209ef8c4f6df6358113ce9df22008d8853b198e3ace621c632
BLAKE2b-256 checksum
How to use checksums
c58b3daadc3dc677d3939e6024abfdd60fa148564c6eb2f8c5726bd68890d363
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.10.12

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
SHA-256 checksum
How to use checksums
b55f0d857a9c82b7ef33a5089f6943facd96325c2e618b80146bc2ba0b357eec
BLAKE2b-256 checksum
How to use checksums
03207fa99bbbd37137bf3b239f5b3570e3859cc3c1c264ad3ed7ad42de221392
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.10.12

Release history Release notifications | RSS feed

This release

0.5.0 This release

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page