# brainbox.lfp

Created on Fri Mar 13 14:57:53 2020

Functions to analyse LFP signals

@author: Guido Meijer

Functions

 `butter_filter` `coherence` Calculate the coherence between two LFP signals `power_spectrum` Calculate the power spectrum of an LFP signal
butter_filter(signal, highpass_freq=None, lowpass_freq=None, order=4, fs=2500)[source]
power_spectrum(signal, fs=2500, segment_length=0.5, segment_overlap=0.5, scaling='density')[source]

Calculate the power spectrum of an LFP signal

Parameters
• signal (2D array) – LFP signal from different channels in V with dimensions (channels X samples)

• fs (int) – Sampling frequency

• segment_length (float) – Length of the segments for which the spectral density is calcualted in seconds

• segment_overlap (float) – Fraction of overlap between the segments represented as a float number between 0 (no overlap) and 1 (complete overlap)

Returns

• freqs (1D array) – Frequencies for which the spectral density is calculated

• psd (2D array) – Power spectrum in V^2 with dimensions (channels X frequencies)

coherence(signal_a, signal_b, fs=2500, segment_length=1, segment_overlap=0.5)[source]

Calculate the coherence between two LFP signals

Parameters
• signal_a (1D array) – LFP signal from different channels with dimensions (channels X samples)

• fs (int) – Sampling frequency

• segment_length (float) – Length of the segments for which the spectral density is calcualted in seconds

• segment_overlap (float) – Fraction of overlap between the segments represented as a float number between 0 (no overlap) and 1 (complete overlap)

Returns

• freqs (1D array) – Frequencies for which the coherence is calculated

• coherence (1D array) – Coherence takes a value between 0 and 1, with 0 or 1 representing no or perfect coherence, respectively

• phase_lag (1D array) – Estimate of phase lag in radian between the input time series for each frequency