Analysis of closed-loop amplitude-modulated non-invasive brain stimulation experiments
Project description
This toolbox contains all software required to implement closed-loop amplitude-modulated non-invasive brain stimulation (CLAM-NIBS) and evaluate the resulting electroencephalography (EEG) or magnetoencephalography (MEG) data.
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
clamnibs-0.1.5.tar.gz
(18.9 kB
view details)
Built Distribution
clamnibs-0.1.5-py3-none-any.whl
(22.2 kB
view details)
File details
Details for the file clamnibs-0.1.5.tar.gz.
File metadata
- Download URL: clamnibs-0.1.5.tar.gz
- Upload date:
- Size: 18.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1a48333a1297c964c045bd658b4d4cadbbad2ff5526f6e12f543dc39353b7111 |
|
| MD5 | 5a8df6b44759c22f43609f0c8742f2bd |
|
| BLAKE2b-256 | d68829090d9063a1c6008ce8f8281b98b8f14ded08b38e62614785c229e4d3d1 |
File details
Details for the file clamnibs-0.1.5-py3-none-any.whl.
File metadata
- Download URL: clamnibs-0.1.5-py3-none-any.whl
- Upload date:
- Size: 22.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d00fefac61d27184893c66e44b1d3e9d91ce355dff5daef2b3a1857b9118c0ad |
|
| MD5 | 27cf0041ef39a143e41ae131f4b3f4e7 |
|
| BLAKE2b-256 | 8d2dcd5861d93566f11426561d07741e573f6fdf91c02dff5ec80456133a9d90 |
