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Similar to the extended model, we observe the three activity states controlled by the level of active PERK (Additional file 1: Figure S9(a)).
Four activity states are represented: Not tested (void cell), inactive (red), slightly active (yellow) and active (green).
Basically, a smaller difference in activity states means a larger probability of connection.
The similarity in node colors represents the similarity in node activity states.
Thus a total of 192 activities were recorded resulting in 864 separate annotated activity states.
First, the Bayesian formulation is able to identify sit, transition and stand activity states.
Stability of a bistable system isdetermined by the minimum lifetime of either of the two activity states.
This can be achieved by defining localized but spatially structured activity states on large scales of the order of millimeters.
Such networks transiently amplify specific activity states and can be used to reliably execute multidimensional movement patterns.
Transcription is regulated by a multitude of factors that concertedly induce genes to switch between activity states.
Given the limitations in representing species as either on or off, this modeling approach has been extended to accommodate intermediate activity states using fuzzy logic [32].
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