Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...
This paper would be of interest to researchers studying cognitive control and adaptive behavior, if the concerns raised in the reviews can be addressed satisfactorily. Understanding how task knowledge ...
Abstract: This paper introduces a novel kernel-based formulation for the efficient uncertainty quantification of integrated circuits. The method combines the polynomial chaos expansion (PCE) and ...
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