detection algorithms offer a complementary way to uncover the presence of rhythmic theta activity during successful memory operations, even in the presence of a broad-band tilt of the power spectrum. More recent methods, such as IRASA (irregular-resampling auto-spectral analysis) [60], FOOOF (Fitting oscillations & one-over f) [61], and bycycle [62] allow to estimate additional parameters, such as waveform symmetry or they more accurately fit the slope and offset of the background spectrum. Even though these methods have not yet been applied widely to the study of human memory, they seem to provide a powerful tool to advance our understanding of the differential contributions of narrow-band oscillations and broad-band tilts or shifts of the power spectrum to successful encoding and retrieval.
