Runs a statistical summary for electrophysiology data.
Project description
# Statistical Summary For Neuroscience A statistical summary commandline tool for Axios raw data files. Right now it create several plots: * low passed PSD * spike raster * spike traces * population spiking vector * PSD of the population spiking vector * spike traces of the population spiking vector
## Installation 1. [Follow these instructions to install the Python engine for Matlab](https://www.mathworks.com/help/matlab/matlab_external/install-the-matlab-engine-for-python.html) 2. Run python setup.py install ## How To Use ` neurosum (Raw file or folder name containing .raws) ` It will output its plots into a folder titled (Name of raw file)_processed
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file neurosum-0.0.0.5.tar.gz.
File metadata
- Download URL: neurosum-0.0.0.5.tar.gz
- Upload date:
- Size: 496.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.7.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a4378b442abe553c325ab13247a2d8a188e11b20c1fa4d8f870783a3d82a8096
|
|
| MD5 |
22c60919280a9ed7d78c9d729ed88bd5
|
|
| BLAKE2b-256 |
deefc16fe3ced679d14fe081c3e3016d800b1bbd8abd962f7c712e01fe7429d6
|
File details
Details for the file neurosum-0.0.0.5-py3-none-any.whl.
File metadata
- Download URL: neurosum-0.0.0.5-py3-none-any.whl
- Upload date:
- Size: 513.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.7.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ca31caedc352f1f58891ec3f7b73ddf56dc30a5c87c193b3a473ace1cfe94558
|
|
| MD5 |
97900544189a1e6916614c7c6b1ad1a8
|
|
| BLAKE2b-256 |
e5510251e9d72b5bacb5452b92385b097368346a49049dbe965b514586ed8982
|
