Inferring oscillatory modulation in neural spike trains
Fig 7
Comparison with other models of spiking and the AR order.
Spiking noise and oscillation irregularity affect the quality of phase inference. A, B) Clockwise from top, spike train (ticks) produced by the regular oscillation plotted above, the resultant lengths when oscillation inferred using 3 different history lengths using GLM along with the RL from LOST inference of same data, and the history weights b (dashed red) and their confidence intervals (purple) for GLM using history length 720ms. Modulating oscillations have OCV = 0.02 and 0.2 in A) and B), respectively. C) Sample CIF inference of data shown in A) using LOST (top trace), and GLM (bottom trace), with black line the duplicated ground truth CIFs. For GLM, the dashed (solid) line is the inference obtained from using 720ms (180ms) of spiking history. D) Comparison of how different AR orders for the LOST model affect inference performance for irregular oscillations.