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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
