Object oriented Python kernel current source density toolbox
Project description
Kernel Current Source Density is a recently developed method for estimating the density of trans-membrane current sources, which can be used for a detailed study of neuronal synaptic dynamics.
It can estimate current source density from potentials measured with irregularly placed linear, planar and spatial electrodes.
- Free software: BSD license
- Documentation: http://pykCSD.rtfd.org.
Features
- Estimation of potentials and CSD in 1D, 2D, 3D case for both static and dynamic recordings
- Visualization of the estimated quantities
TODO
- tracking the units
- management of big datasets
- GUI
History
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.
| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size pykCSD-0.1.0-py2.py3-none-any.whl (24.5 kB) | File type Wheel | Python version 2.7 | Upload date | Hashes View |
| Filename, size pykCSD-0.1.0.tar.gz (36.1 kB) | File type Source | Python version None | Upload date | Hashes View |
Close
Hashes for pykCSD-0.1.0-py2.py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f5eb48952ab5bbce6bf40c349a0a6140f2a0a1b811a0d8f6a42bb9091d8f200e |
|
| MD5 | 0e7d8246a424d9f2990d7cce0a8094e8 |
|
| BLAKE2-256 | 2c501202dad4e8cc99f869e6a54ca975c158590a9a4e7681bf1555caa52a01fe |
