pykCSD
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
1 maintainer
Metadata
1 maintainer
Release files for pykCSD 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pykCSD-0.1.0.tar.gz | 36.1 kB | Without provenance | Details for pykCSD-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pykCSD-0.1.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for pykCSD-0.1.0-py2.py3-none-any.whl |
Total release size: 60.6 kB
Release files / pykCSD-0.1.0.tar.gz
| Download URL | pykCSD-0.1.0.tar.gz |
|---|---|
| Size | 36.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / pykCSD-0.1.0-py2.py3-none-any.whl
| Download URL | pykCSD-0.1.0-py2.py3-none-any.whl |
|---|---|
| Size | 24.5 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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