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Neurodsp
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
Metadata
3 maintainers
Release files for neurodsp 2.0.0rc1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| neurodsp-2.0.0rc1.tar.gz | 34.4 kB | Without provenance | 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 |
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| Size | 34.4 kB |
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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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