Topic: autoregressive Poisson regression

Oscillations in neural activity are often studied in signals that reflect electrical currents aggregated over neuronal populations (e.g., local field potentials). Ideally, we could straightforwardly analyze oscillations in individual neurons’ firing, by estimating the power spectral density (PSD) of spike trains. Unfortunately, spike train spectra exhibit a global distortion generated by the neuronal recovery period (“RP”, the post-spike drop in spike probability, which can extend beyond the refractory period). This distortion can increase the rate of false negatives and false positives from s