Convert data to nwb
Project description
# nwbext_ecog: An NWB extension for ECoG data
Author: Ben Dichter
There are three data types, `Surface`, `CorticalSurfaces`, and `ECoGSubject`. `CorticalSurfaces` is simply a group (like a folder) to put `Surface` objects into. `Surface` holds surface mesh data (vertices and triangular faces) for sections of cortex. `ECoGSubject` is an extension of `Subject` that allows you to add the `CorticalSurfaces` object to `/general/subject`.
## Usage
### python
install:
```bash
pip install nwbext_ecog.git
```
write:
```python
import pynwb
from nwbext_ecog import CorticalSurfaces, ECoGSubject
nwbfile = pynwb.NWBFile(...)
...
cortical_surfaces = CorticalSurfaces()
## loop me
cortical_surfaces.create_surface(name=name, faces=faces, vertices=veritices)
##
nwbfile.subject = ECoGSubject(cortical_surfaces=cortical_surfaces)
```
You can optionally attach images of the subject's brain:
```python
from pynwb.base import Images
from pynwb.image import GrayscaleImage
subject.images = Images(name='subject images', images=[GrayscaleImage('image1', data=image_data)])
```
read:
```python
import nwbext_ecog
from pynwb import NWBHDF5IO
io = NWBHDF5IO('path_to_file.nwb','r')
nwb = io.read()
nwb.subject.cortical_surfaces
```
### MATLAB
install:
```matlab
generateExtension('/path/to/nwbext_ecog/nwbext_ecog/ecog.namespace.yaml');
```
write:
```matlab
cortical_surfaces = types.ecog.CorticalSurfaces;
%%% loop me
surf = types.ecog.Surface('faces', faces, 'vertices', vertices);
cortical_surfaces.surface.set(surface_name, surf);
%%%
file.subject = types.ecog.ECoGSubject(name, cortical_surfaces);
```
Author: Ben Dichter
There are three data types, `Surface`, `CorticalSurfaces`, and `ECoGSubject`. `CorticalSurfaces` is simply a group (like a folder) to put `Surface` objects into. `Surface` holds surface mesh data (vertices and triangular faces) for sections of cortex. `ECoGSubject` is an extension of `Subject` that allows you to add the `CorticalSurfaces` object to `/general/subject`.
## Usage
### python
install:
```bash
pip install nwbext_ecog.git
```
write:
```python
import pynwb
from nwbext_ecog import CorticalSurfaces, ECoGSubject
nwbfile = pynwb.NWBFile(...)
...
cortical_surfaces = CorticalSurfaces()
## loop me
cortical_surfaces.create_surface(name=name, faces=faces, vertices=veritices)
##
nwbfile.subject = ECoGSubject(cortical_surfaces=cortical_surfaces)
```
You can optionally attach images of the subject's brain:
```python
from pynwb.base import Images
from pynwb.image import GrayscaleImage
subject.images = Images(name='subject images', images=[GrayscaleImage('image1', data=image_data)])
```
read:
```python
import nwbext_ecog
from pynwb import NWBHDF5IO
io = NWBHDF5IO('path_to_file.nwb','r')
nwb = io.read()
nwb.subject.cortical_surfaces
```
### MATLAB
install:
```matlab
generateExtension('/path/to/nwbext_ecog/nwbext_ecog/ecog.namespace.yaml');
```
write:
```matlab
cortical_surfaces = types.ecog.CorticalSurfaces;
%%% loop me
surf = types.ecog.Surface('faces', faces, 'vertices', vertices);
cortical_surfaces.surface.set(surface_name, surf);
%%%
file.subject = types.ecog.ECoGSubject(name, cortical_surfaces);
```
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
nwbext_ecog-0.7.1.tar.gz
(4.3 kB
view details)
Built Distribution
File details
Details for the file nwbext_ecog-0.7.1.tar.gz
.
File metadata
- Download URL: nwbext_ecog-0.7.1.tar.gz
- Upload date:
- Size: 4.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | fd096120d92d102dd4e0cd48e5f4a8b9e2bf5cdef9a8faec128226f743a2203c |
|
MD5 | f4935bb2ae99297847f349d149a35550 |
|
BLAKE2b-256 | f8815d4176ea78f7f0ae4dc2ccce188a17fab3cef49cae3c14a252dee159f961 |
File details
Details for the file nwbext_ecog-0.7.1-py3-none-any.whl
.
File metadata
- Download URL: nwbext_ecog-0.7.1-py3-none-any.whl
- Upload date:
- Size: 7.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 93f4d563156e971585bf535e69c6eb6a98336fcbfed80ac2412e685454523c84 |
|
MD5 | a411201b906af6ccee0a9a5681b72af2 |
|
BLAKE2b-256 | b874c4e1d51e2dd517551e1e291105bfc1149792cd69a534d438f4c7e30a9899 |