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A package of modules to process and analyze neural recordings as individual voltage time series. The primary purpose of this library is to serve as the shared codebase for the Voytek lab, but we welcome anyone’s use and contributions.

Neurodsp contains several modules: - burst : Detect bursting oscillators in neural signals - filt : Filter data with bandpass, highpass, lowpass, or notch filters - laggedcoherence : Estimate rhythmicity using the lagged coherence measure - sim : Simulate bursting or stationary oscillators with brown noise - spectral : Compute spectral domain features (PSD and 1/f slope, etc) - swm : Identify recurrent patterns in a signal using sliding window matching - timefrequency : Estimate instantaneous measures of oscillatory activity

Home-page: https://github.com/voytekresearch/neurodsp Author: The Voytek Lab Author-email: voyteklab@gmail.com License: MIT Download-URL: https://github.com/voytekresearch/neurodsp/releases Description: UNKNOWN Keywords: neuroscience,neural oscillations,time series analysis,spectral analysis,LFP Platform: UNKNOWN Classifier: Development Status :: 4 - Beta Classifier: Intended Audience :: Science/Research Classifier: Topic :: Scientific/Engineering Classifier: License :: OSI Approved :: MIT License Classifier: Operating System :: MacOS :: MacOS X Classifier: Operating System :: Microsoft :: Windows Classifier: Operating System :: POSIX :: Linux Classifier: Operating System :: Unix Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 3.5 Classifier: Programming Language :: Python :: 3.6

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