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  • Installation
  • Tutorials
  • Function Reference by Module
    • Local field potentials (LFPs) and population signals
    • Spike trains
    • LFPs and spike trains (combined)
    • Kernels
    • Waveforms
    • Alternative data representations
    • Miscellaneous
  • Contributing to Elephant
  • Release Notes
  • Acknowledgments
  • Authors and contributors
  • Citing Elephant

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  • Documentation overview
    • Previous: SPADE Tutorial
    • Next: Signal processing

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Function Reference by Module¶

Local field potentials (LFPs) and population signals¶

  • Signal processing
  • Spectral analysis
  • Causality measures
  • Current source density analysis

Spike trains¶

  • Statistics of spike trains
    • Rate estimation
    • Spike interval statistics
    • Statistics across spike trains
  • Correlative measures on spike trains
    • Spike train correlation
    • Spike train dissimilarity
    • Spike train synchrony
  • Detection of synchronous spike patterns
    • Cell assembly detection (CAD)
    • Unitary Event Analysis (UE)
    • Analysis of Sequences of Synchronous EvenTs (ASSET)
    • Spike Pattern Detection and Evaluation (SPADE)
    • Cumulant Based Inference of higher-order Correlation (CuBIC)
  • Detection of non-stationary processes
  • Gaussian-Process Factor Analysis (GPFA)
  • Spike train surrogates
  • Spike train generation
    • Extract spike times from time series
    • Random spike train processes
    • Coincident spike times generation

LFPs and spike trains (combined)¶

  • Spike-triggered average
  • Phase Analysis

Kernels¶

  • Kernels
    • Symmetric kernels
    • Asymmetric kernels
    • Examples

Waveforms¶

  • Waveform features

Alternative data representations¶

  • BinnedSpikeTrain (conversion)

Miscellaneous¶

  • Neo objects utilities
  • Utility functions
  • Bridge to the pandas library
  • Parallel
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