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Similarly, nodes periodically update their status containing their ID, location, and criticality (i.e., critical/non-critical) to neighbors through heartbeat messages.
In nearest non-critical neighbor (NNN), each actor periodically determines its criticality (i.e., cut vertex or not).
It is therefore of interest to determine whether this finite-size neuronal system with external input displays LRTCs given that it is in the region of a critical regime and whether LRTCs relate to other signatures of criticality, i.e. the presence of partial scale-free behaviour in the data distributions themselves.
As stated, as the level of external input decreases, the system approaches the critical regime and so it is perhaps not surprising that signatures of criticality (i.e. scale-free behaviour) emerge in the distribution of avalanche size as the external input is lowered.
We thus analyse two potential markers of criticality: (i) the divergence of susceptibility that arises in the model as we approach the critical point, (ii) the slowing down of the recovery time from small disturbances as the system approaches the critical point.
The critical brain hypothesis demands that in isolation from its natural surroundings (in vitro) and whilst having no external influences acting upon it (akin to the model with h = 0 we studied in the companion paper [24]), a culture should exhibit signs that it is tuned to criticality (i.e. avalanches that are well approximated by power laws).
Similar(53)
Shutdown of ADS operating at high levels of sub-criticality, (i.e. keff ∼0.99), without the support of reactivity control systems (such as control or safety rods), may be problematic in case the ability of cooling of the core should be impaired (i.e. loss of coolant flow).
Moreover, it has led to the hypothesis that brain dynamics may fit within the framework of self-organised criticality (SOC), i.e. a system that does not require external tuning of parameters to reach the critical state [4, 18, 19].
I suspend my criticality as best I can and just listen closely.
We provided results on two other markers of criticality critical slowing down and divergence of susceptibility both of which again follow from a dynamical systems appreciation of a critical bifurcation, i.e., the behaviour of a system whose lead eigenvalue crosses zero.
P.910 [4] TI = max time std space I n - I n - 1 (2) Criticality from Fenimore et al. [5] SI I n = rms space sobel I n (3) TI I n = rms I n - I n - 1 (4) Criticality = log 10 mean time SI I n × TI I n, (5).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com