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-0.1.10.tar.gz
(22.1 kB
view details)
Built Distribution
clamnibs-0.1.10-py3-none-any.whl
(24.4 kB
view details)
File details
Details for the file clamnibs-0.1.10.tar.gz.
File metadata
- Download URL: clamnibs-0.1.10.tar.gz
- Upload date:
- Size: 22.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d2d5d2b98d629b6848c952da790612db2879e0107d361be9c8a627df3068be6d |
|
| MD5 | 374a0c61cbf4d9194db1eafb8ab2658e |
|
| BLAKE2b-256 | 6dd98c27280e230014c5f15a74579ad1269b7326b4e76a5262fdbe21932a826c |
File details
Details for the file clamnibs-0.1.10-py3-none-any.whl.
File metadata
- Download URL: clamnibs-0.1.10-py3-none-any.whl
- Upload date:
- Size: 24.4 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 | b47d8cdcbeaed6d3550e2f1063eed9925fa40794fabf1f3fbd520c0c8d0c75fd |
|
| MD5 | fc59bcce598aace33db7ad4cf0ef232a |
|
| BLAKE2b-256 | 73712b466addac2870dc834186cb6db162b7a335b3d6a2ba5310310fafbaede1 |
