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lagged_hilbert_coherence's Introduction

lagged_hilbert_coherence

Lagged Hilbert coherence, phase-locking value, and amplitude coherence

Requirements

python version: joblib, scipy, numpy, statsmodels (>=0.13.5)

matlab version: parallel processing toolbox, signal processing toolbox

Python files

  • lagged_coherence.py: core functions
  • demo.ipynb: demonstration of the new lagged coherence algorithm
  • multi_trial_demo.ipynb: demonstration of new lagged coherence algorithm with multiple trials
  • sims.ipynb: tests with simulated data
  • meg_sensor_data.ipynb: analysis of MEG sensor data
  • lfp_data.ipynb: analysis of LFP monkey data

Matlab files

  • lagged_hilbert_coherence.m: core function
  • ar_surr.m: ARMA surrogate data generation
  • demo.m: demonstration of new lagged coherence algorithm
  • multi_trial_demo.m: demonstration of new lagged coherence algorithm with multiple trials
  • rfft.m: Fourier transform of real signal
  • irfft.m: inverse Fourier transform of real signal
  • hilbert.m: hilbert transform

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