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Both the ADHD group and the control group exhibited activation of the frontostriatal network when processing response inhibition.
This means that the matched filter and MTD processing response of clutter returns depend on the difference of its time delay and Doppler frequency shift with respect to those of the center of the interested area.
Problems are addressed where learning about unobservable inputs of a forward model, e.g. reducing the epistemic uncertainty of fixed yet unknown parameters and/or quantifying the aleatory uncertainty of variable inputs, is based on processing response measurements.
The measurement system was characterized by an electronic signal processing response time of 43 ms, accuracy and repeatability better than 0.5 5% error in transit time measurement and sufficient sensitivity to detect less than 10% changes in flow field channel and gas diffusion electrode void volumes.
Beta power decreased with advancing string processing (Response Number, F(6/264) = 61.4, p<0.0001), yet independently of sleep group (Response Number x Sleep Group, F(6/264) = 0.4, p = 0.8) and condition (Response Number x Session, F(6/264) = 1.54, p = 0.2).
The IGD group got a higher score for impulsivity and exhibited higher brain activation when processing response inhibition over the left OFC and bilateral caudate nucleus than controls.
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Autonomous measurement units are indispensable for the development of the smart grid in order to get faster processing responses, stability, and to provide the user with information regarding power quality (losses, harmonics, outages, steady-state and transient events).
Little is known, though, about the sensory correlates of processing response-competing distractors in early visual cortex (e.g., in primary cortex areas V1 and V2) or the extent to which any such sensory correlates can be subject to high-level cognitive control by working memory.
These shortcomings prompt the need to develop methods that more effectively capture dose-dependent neural processing responses.
Nonlinear mathematical morphology [6] is capable of implementing differing image processing responses and techniques in systems composed of morphological operations, offering greater flexibility than current algorithms utilised for augmented visual aid.
Finally, the proposed spline models can be used in more general settings as a flexible modeling tool for investigating the effects of any continuous covariates on neural processing responses.
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