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Comparative analysis of the results to verify the accuracy of the data generated by (a) functional mode and by (b) the discrete- and real-time modes Table 1 Workload parameters for functional validation.
In other words, dynamical models as well as biological data indicate that the ensemble dynamics of populations of neurons may effectively reduce to a structured flow in phase space, that is, a functional mode.
The mechanisms associated with Scenario 1 came to the fore as most effective: the complexity of a functional mode's phase flow is moderate (at least relative to the extremes of Scenario 2 & 4) while requiring little external operation.
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Let τf and τσ denote the time scales corresponding to a particular functional mode and operational signal σ(t) respectively.
Changes of task difficulty within which a particular functional mode was utilized resulted in the structural task-dependent phase flow adjustments.
Not committing to that will lead you to lapse into a non functional mode of behavior.
The here combined use of linear and nonlinear phase flows predicts an intermediate functional mode complexity relative to Scenario 1 (only nonlinear phase flows) and to Scenario 2 (only linear phase flows).
Each power state defines a functional power mode to apply to components: CPU modes, frequency, clock gating, shutdown, RF amplification level, and so forth.
The neurally-identified modules, however, are not at odds with our dynamically motivated architectures: it may well be that which neural modules are assembled and how they are super-positioned depends on the functional mode utilized in a given task context.
In those cases where σ(t) acts on a time scale similar to that of the functional mode (i.e., τσ≈τf−Scenario 2), σ(t) may be said to operate the functional mode.
On the other hand, ΔH increased from zero in Scenario 2 (τσ≈τf) to intermediate values for Scenarios 1 & 3 (between which Scenario 1 exhibits higher functional mode complexity) and finally, to a maximum value in Scenario 4. Scenario 1 qualifies as an efficient functional architecture, since it combines a minimal operational signal with a phase flow of moderate complexity.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com