ffrprep.analysis.corr_stim_to_resp

ffrprep.analysis.corr_stim_to_resp(stim, resp, sfreq)

Compute the correlation between stimulus and brain response.

The function compares a stimulus waveform and a response across various time lags and returns the strongest correlation and lag pair where the strongest correlation is.

Parameters:

• stim (array-like) – Stimulus signal file, should represent a single time-series

• resp (array-like) – Brain response signal, should represent a single time-series

• sfreq (float) – Sampling frequency, used to convert lag values to milliseconds

Returns:

• peak_corr (float) – The highest correlation value between the stimulus and the response

• peak_lag (float) – The lag at which the maximum correlation occurs.