Digital Signal Processing for Neural time series

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  • License: MIT License (MIT)
  • Author: The Voytek Lab
  • Tags neuroscience , neural oscillations , time series analysis , spectral analysis , LFP
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A package for digital signal processing of neural time series.

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

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Avatar for ryanhammonds from gravatar.com ryanhammonds Avatar for tdonoghue from gravatar.com tdonoghue Avatar for voytekresearch from gravatar.com voytekresearch

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These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: The Voytek Lab
  • Tags neuroscience , neural oscillations , time series analysis , spectral analysis , LFP
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2.3.0

2.2.1

2.2.0

2.1.0

2.0.0

This version

2.0.0rc1 pre-release

1.1.2

1.0.0

0.3.1

0.3

0.2

0.1

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