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The most likely value of the latent variable naturally defines two global population states.

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posted on 2017-09-19, 17:24 authored by Jan Humplik, Gašper Tkačik

A) For every repeat of the stimulus and for every time bin we estimate the most likely value of the latent (h*) given the population response at that time, as well as the total number of spiking neurons in that response (K). The plot shows the trajectories of h* and K averaged across repeats. Error bars correspond to 1 SD. B) Probability density of h*, i.e. the most likely value of the latent given the population response. C) A scatter plot of the total network activity vs. the most likely value of the latent. h* naturally divides the population responses into two clusters. D) Probability distribution of the total network activity given this global population state. While the most likely value of K for low h* is zero, the distribution has a tail that extends to K ≈ 5.

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