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Therefore, novel design methodologies must be developed to direct the design of these mixed-technology systems, which will have to include accurate behavioral libraries of devices and processes.
Yet, a reasonably accurate behavioral model of the physical layer performance is critically important in obtaining the correct system level performance representation and in tuning MAC/RLC algorithms (such as the scheduler).
The adopted modeling strategy consists in including the modulated supply voltage as an additional independent model variable to define more accurate behavioral models capable of an increased accuracy when applied to model and compensate ET PAs.
To solve this problem, we recently introduced a three-degree-of-freedom robotic platform designed for rats (the ETH-Pattus) that combines an accurate behavioral readout (in the form of kinematics) with the possibility to invasively assess learning related changes within the brain (e.g. by performing immunohistochemistry or electrophysiology in acute slice preparations).
These issues are exacerbated where accurate behavioral descriptions require analysis of multiple points in three dimensions.
The literature on temporal orienting has shown that temporally predictable stimuli trigger time-dependent preparatory neural dynamics, as well as faster and more accurate behavioral responses (see Nobre, Correa, & Coull, 2007, for a review).
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The described approach is based on multiple design representations such as floating-point models, bit-accurate behavioral models, and register transfer level descriptions.
The Reid interrogation technique is predicated upon an accurate determination, during Behavioral Analysis, of whether the suspect is lying.
One result of this tough-minded approach was a loss of confidence in the adequacy of drive theories of the kinds proposed by Lorenz and Tinbergen to provide accurate accounts of behavioral control.
The monitoring signal in the caudate was not only accurate at representing ongoing behavior, but it also interpreted behavioral consequences in light of changing demands of the task.
Basic descriptions of movements over large spatial scales do not require a detailed understanding of ARGOS location error but the implementation of quantitative analytical tools that derive behavioral states requires accurate knowledge of the error structure [28], [39], [40].
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