A tool for digital signal processing for neural time series
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
