MEG Informed Cortical Parcellations
Project description
megicparc
Python library for dividing the cortical surface based on an unsupervised clustering of the MEG lead fields.
Author
Sara Sommariva (sommariva@dima.unige.it)
Citation
If you use megicparc in your project, please consider citing our work:
.. [1] S. Sommariva1, N. Puthanmadam Subramaniyam, and L. Parkkonen. An unsupervised clustering approach for MEG lead-field-based cortical parcellation. Submitted
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
megicparc-1.0.1.tar.gz
(15.8 kB
view details)
File details
Details for the file megicparc-1.0.1.tar.gz.
File metadata
- Download URL: megicparc-1.0.1.tar.gz
- Upload date:
- Size: 15.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d2852718c566a5b59d38ae5ce8c47930ea10dd29baecc92fa8ff9fc8891b6c5c
|
|
| MD5 |
5bb9265fc9fc51db7903ae2d04973c38
|
|
| BLAKE2b-256 |
98c03ecf722fee07852a101f2bdb614eb0bbe881990a6beadd6063290591c4bc
|