Switching state-space modeling of neural signal dynamics
Fig 6
Simulation results: Segmentation performance on switching state-space oscillator models when true model parameters are known.
(a) Power spectra of simulated oscillations at different frequencies; spectral estimation obtained via multitaper method that utilized 6 tapers corresponding to a time half-bandwidth product of 4. (b) Changes of mean segmentation accuracy over the number of switching states, as the number of underlying oscillations varies between 2 and 5. Shaded bounds denote the standard error of the mean around the average accuracy values across 200 repetitions. (c) An example switching state path with 5 underlying oscillations and 31 possible switching states. (d) Estimated switching states with variational inference. VI-A = variational inference with deterministic annealing (orange color); VI-I = variational inference with interpolated densities (blue color).