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.
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
clamnibs-0.1.4.tar.gz
(18.8 kB
view details)
Built Distribution
clamnibs-0.1.4-py3-none-any.whl
(22.1 kB
view details)
File details
Details for the file clamnibs-0.1.4.tar.gz
.
File metadata
- Download URL: clamnibs-0.1.4.tar.gz
- Upload date:
- Size: 18.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 68a9588a284afb552097cd5ffe03b8d1bc6fb83f5187526f54fd2d3cacca4afa |
|
MD5 | 5424562f87c0957ba2c27c4977b09f93 |
|
BLAKE2b-256 | a5b685cb613e32cc0aac7e60d43df398d59b153cac25361dcbc44f89c215f658 |
File details
Details for the file clamnibs-0.1.4-py3-none-any.whl
.
File metadata
- Download URL: clamnibs-0.1.4-py3-none-any.whl
- Upload date:
- Size: 22.1 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 | d566595a622c9836ecbb0277887dc6c9fca8d4533bc05085ddb5e4356a359d4d |
|
MD5 | 7bc8891e9a8189f68d4e9af2981d2824 |
|
BLAKE2b-256 | c0bfeb0d2e0b1238ebf6f9b0236be11bfc59389927adadf0ebc9e9505fdaa353 |