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Digital signal processing for neural time series.

Project description

NeuroDSP is package of tools to analyze and simulate neural time series, using digital signal processing.

Available modules in NeuroDSP include:

  • filt : Filter data with bandpass, highpass, lowpass, or notch filters
  • burst : Detect bursting oscillations in neural signals
  • rhythm : Find and analyze rhythmic and recurrent patterns in time series
  • spectral : Compute spectral domain features such as power spectra
  • timefrequency : Estimate instantaneous measures of oscillatory activity
  • sim : Simulate time series, including periodic and aperiodic signal components
  • plts : Plotting functions

If you use this code in your project, please cite:

Cole, S., Donoghue, T., Gao, R., & Voytek, B. (2019). NeuroDSP: A package for neural digital signal processing. Journal of Open Source Software, 4(36), 1272. https://doi.org/10.21105/joss.01272

Direct Link: https://doi.org/10.21105/joss.01272

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