| ID | 26383068 | ||||||||||
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| Name | python-neurodsp | ||||||||||
| Version | 2.0.0 | ||||||||||
| Release | 8.fc35 | ||||||||||
| Epoch | |||||||||||
| Arch | src | ||||||||||
| Summary | 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 | ||||||||||
| Build Time | 2021-06-04 19:40:31 GMT | ||||||||||
| Size | 495.37 KB | ||||||||||
| 98155b424d467275112d4987fb0cedef | |||||||||||
| License | ASL 2.0 | ||||||||||
| Buildroot | f35-python-27557954-3662364 | ||||||||||
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