python3-neurodsp Subpackage of python-neurodsp

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

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