Digital Signal Processing for Neural time series
Project description
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
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