{ "info": { "author": "The Voytek Lab", "author_email": "voyteklab@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Science/Research", "License :: OSI Approved :: Apache Software License", "Operating System :: MacOS :: MacOS X", "Operating System :: Microsoft :: Windows", "Operating System :: POSIX :: Linux", "Operating System :: Unix", "Programming Language :: Python", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: Scientific/Engineering" ], "description": "\n========\nNeurodsp\n========\n\nNeuroDSP is package of tools to analyze and simulate neural time series, using digital signal processing.\n\nAvailable modules in NeuroDSP include:\n\n- filt : Filter data with bandpass, highpass, lowpass, or notch filters\n- burst : Detect bursting oscillations in neural signals\n- rhythm : Find and analyze rhythmic and recurrent patterns in time series\n- spectral : Compute spectral domain features such as power spectra\n- timefrequency : Estimate instantaneous measures of oscillatory activity\n- sim : Simulate time series, including periodic and aperiodic signal components\n- plts : Plotting functions\n\nIf you use this code in your project, please cite:\n\nCole, S., Donoghue, T., Gao, R., & Voytek, B. 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