Inferring oscillatory modulation in neural spike trains
Fig 6
Effect of data size on posterior samples.
2 simulations of spike train with spiking around 60Hz, modulated with a 20Hz oscillation with OCV around 0.14 and 1 second long trials, but with different refractory period profiles, A and E. Layout of the figures is the same as in Fig 3, but with B-D and F-G showing different number of trials used, B) 8, C) 15 trials, and D) 40 for spike train in A and F) 5, G) 60 and H) 80 trials for spike train in E. For the smallest number of trials, the posterior is noticeably more variable, but the amplitude of the latent state approaches 0, meaning the latent state is almost decoupled from the spiking. We can see that the posterior narrows as more trials are used.