Metadata-Version: 1.1
Name: neurodsp
Version: 1.0.0
Summary: 
========
Neurodsp
========
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
