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Estimating information in time-varying signals
Fig 4
Information loss due to temporal sampling.
(A) Schematic representation of the resampling of a continuous-time response trajectory (left) at d = 14 (middle) or d = 41 (right) equally spaced time points. Resampled response trajectories are represented as d-dimensional real vectors, 
, for the case of a single output chemical species. (B–D) Exact Monte Carlo information approximations for discrete trajectories, Iexact(X; U) (dark solid gray), optimal decoding lower bound, 
(dark solid black), and the upper bound, IUB (light solid gray) are plotted as a function of d. Continuous-time limits from Fig 3 are shown as horizontal lines: 
(dashed dark gray), 
(dashed black). Error bars as in Fig 3.
doi: https://doi.org/10.1371/journal.pcbi.1007290.g004