In the terminology of calculus, acceleration is integrated (summed a little at a time) to get velocity, then velocity is integrated to get position.
In contrast to, for instance, interactive race [33] or serial (exhaustive) processing architectures (e.g., Feature Integration Theory [34]), the DWA assumes that selective (focal) attention operates on a map of cross-dimensionally integrated (summed) feature contrast signals, with the most active location on this overall-saliency map determining the allocation of focal attention.
Square nodes represent accumulators, which integrate (sum up) their inputs over time (e.g., "voltage across capacitor" starts at zero volts and adds in the value of "change in voltage across capacitor" at each millisecond).
On this view, focal-attention is guided by an overall-saliency map of the scene, which integrates (sums) signals from pre-attentive sensory feature-contrast computations (e.g., for color, motion, etc).
Then, the first-pass peak was defined as the activity of the original C A t) or C V t) up to frame t 2 followed by the exponential fit from frame t 2. The areas under the resulting curves were integrated by summing the products of time frame length and average activity for all time frames.
The resulting peak areas (in ppbv·s) for each compound from each cigarette were integrated and summed, as described previously.
For the VOC levels in each cigarette, we integrated and summed the areas under the individual peaks of the ion mass signals from the PTR-MS data.
To determine the relative abundances of each modified form of the peptide, the areas under the extracted ion chromatogram for each peptide in all of its charge states and modified forms were integrated and summed.
Integrate the sum of the γ times of the first equation and the δ times of the second equation in (1.1) on Ω by parts, begin{aligned}[b] frac{d}{dt} int_{Omega }gamma u+frac{d}{dt} int_{Omega }delta v=-a gamma int_{Omega }u+rdelta int_{Omega }v-frac{rdelta }{K} int_{Omega }v^{2}.
In sum, integrated scenarios are boundary objects [7].
