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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

Project details


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Files for neurodsp, version 1.1.2
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