将数据转换为nwb
项目描述
# nwbext_ecog:NWB扩展用于ECoG数据
作者:Ben Dichter
有三种数据类型,`Surface`,`CorticalSurfaces` 和 `ECoGSubject`。`CorticalSurfaces` 是一个简单的组(类似于文件夹),用于将 `Surface` 对象放入。`Surface` 包含皮层区域的表面网格数据(顶点和三角形面)。`ECoGSubject` 是 `Subject` 的扩展,允许您将 `CorticalSurfaces` 对象添加到 `/general/subject`。
## 使用方法
### python
安装
```bash
pip install nwbext_ecog.git
```
编写
```python
import pynwb
from nwbext_ecog import CorticalSurfaces, ECoGSubject
nwbfile = pynwb.NWBFile(...)
...
cortical_surfaces = CorticalSurfaces()
## 循环我
cortical_surfaces.create_surface(name=name, faces=faces, vertices=veritices)
##
nwbfile.subject = ECoGSubject(cortical_surfaces=cortical_surfaces)
```
您可以可选地附加受试者大脑的图像
```python
from pynwb.base import Images
from pynwb.image import GrayscaleImage
subject.images = Images(name='subject images', images=[GrayscaleImage('image1', data=image_data)])
```
读取
```python
import nwbext_ecog
from pynwb import NWBHDF5IO
io = NWBHDF5IO('path_to_file.nwb','r')
nwb = io.read()
nwb.subject.cortical_surfaces
```
### MATLAB
安装
```matlab
generateExtension('/path/to/nwbext_ecog/nwbext_ecog/ecog.namespace.yaml');
```
编写
```matlab
cortical_surfaces = types.ecog.CorticalSurfaces;
%%% 循环我
surf = types.ecog.Surface('faces', faces, 'vertices', vertices);
cortical_surfaces.surface.set(surface_name, surf);
%%%
file.subject = types.ecog.ECoGSubject(name, cortical_surfaces);
```
作者:Ben Dichter
有三种数据类型,`Surface`,`CorticalSurfaces` 和 `ECoGSubject`。`CorticalSurfaces` 是一个简单的组(类似于文件夹),用于将 `Surface` 对象放入。`Surface` 包含皮层区域的表面网格数据(顶点和三角形面)。`ECoGSubject` 是 `Subject` 的扩展,允许您将 `CorticalSurfaces` 对象添加到 `/general/subject`。
## 使用方法
### python
安装
```bash
pip install nwbext_ecog.git
```
编写
```python
import pynwb
from nwbext_ecog import CorticalSurfaces, ECoGSubject
nwbfile = pynwb.NWBFile(...)
...
cortical_surfaces = CorticalSurfaces()
## 循环我
cortical_surfaces.create_surface(name=name, faces=faces, vertices=veritices)
##
nwbfile.subject = ECoGSubject(cortical_surfaces=cortical_surfaces)
```
您可以可选地附加受试者大脑的图像
```python
from pynwb.base import Images
from pynwb.image import GrayscaleImage
subject.images = Images(name='subject images', images=[GrayscaleImage('image1', data=image_data)])
```
读取
```python
import nwbext_ecog
from pynwb import NWBHDF5IO
io = NWBHDF5IO('path_to_file.nwb','r')
nwb = io.read()
nwb.subject.cortical_surfaces
```
### MATLAB
安装
```matlab
generateExtension('/path/to/nwbext_ecog/nwbext_ecog/ecog.namespace.yaml');
```
编写
```matlab
cortical_surfaces = types.ecog.CorticalSurfaces;
%%% 循环我
surf = types.ecog.Surface('faces', faces, 'vertices', vertices);
cortical_surfaces.surface.set(surface_name, surf);
%%%
file.subject = types.ecog.ECoGSubject(name, cortical_surfaces);
```
项目详情
关闭
nwbext_ecog-0.7.2.tar.gz 的哈希值
算法 | 哈希摘要 | |
---|---|---|
SHA256 | c2df9c5a1fd0046077d39ef6273d906e43fd4292feac60b3c0ab2569181f4d68 |
|
MD5 | 7468fed83ca527128f2452586220afe5 |
|
BLAKE2b-256 | 7d1a06ae9d29da772a24fdec7403e2792c2ead565f66f3273609244a433f86aa |
关闭
nwbext_ecog-0.7.2-py2.py3-none-any.whl 的哈希值
算法 | 哈希摘要 | |
---|---|---|
SHA256 | f6414b7cfdcd81bb1ce92717cbcd1c5c6e86493559060cb138f0da29a5a9eaab |
|
MD5 | cd876254133eb70221542260ce988270 |
|
BLAKE2b-256 | 7f4567ae64875ec3125c511c59cb7afd9737bf5265991918a49c658c76a88425 |