This release is a pre-release and may not be stable for production use.
A package for digital signal processing of neural time series.
Neurodsp contains several modules:
burst : Detect bursting oscillators in neural signals
filt : Filter data with bandpass, highpass, lowpass, or notch filters
laggedcoherence : Estimate rhythmicity using the lagged coherence measure
sim : Simulate bursting or stationary oscillators with brown noise
spectral : Compute spectral domain features (PSD and 1/f slope, etc)
swm : Identify recurrent patterns in a signal using sliding window matching
timefrequency : Estimate instantaneous measures of oscillatory activity
3 maintainers
Release files for neurodsp 2.0.0rc1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| neurodsp-2.0.0rc1.tar.gz | 34.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| neurodsp-2.0.0rc1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:90.8 kB
Release files / neurodsp-2.0.0rc1.tar.gz
| Download URL | neurodsp-2.0.0rc1.tar.gz |
|---|---|
| Size | 34.4 kB |
| Tags | Source |
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Release files / neurodsp-2.0.0rc1-py3-none-any.whl
| Download URL | neurodsp-2.0.0rc1-py3-none-any.whl |
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| Size | 56.4 kB |
| Tags | Python 3 |
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twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3
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