Automatically parcellate putative human core using myelin content and curvature
Project description
APAC
Automatic parcellation of auditory cortex (APAC)
APAC is a lightweight module for parcellate human brain auditory cortex. It is primarily intended for dividing the aduitory cortex into subregions
License
Support
Paper
Conference
K. Byeon, B.-y. Park, H. S. Lee, S.-G. Kim and H. Park, "Fully automated parcellation of the primary auditory cortex" Society for Neuroscience - Neuroscience 2019
Core development team
- Sean H. Lee - Max Planck Institute for Empirical Aesthetic
- Bo-yong Park, MICA Lab - Montreal Neurological Institute
- Kyoungseob Byeon, MIPL - Sungkyunkwan University
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 Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
apac-0.1.0-py3-none-any.whl
(5.7 kB
view details)
File details
Details for the file apac-0.1.0-py3-none-any.whl
.
File metadata
- Download URL: apac-0.1.0-py3-none-any.whl
- Upload date:
- Size: 5.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.26.0 CPython/3.7.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a3eb40dccff1c2f1c7cf54835cf3e674edde866034d5298de8be0b259be25edf |
|
MD5 | 7768ed82a2ad0623c72411a792bd8066 |
|
BLAKE2b-256 | c60b8602b5a5feb4cedbb5b057fb59da51dc4588710236446d7218c933c6d3a6 |