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Short-term-memory cells are modeled as connecting to corresponding cells of subconscious long-term memory in a large associative memory Cells in the context of memory are not necessarily biological; rather, they are neural circuits with a special structure to latch the presence of a given feature Many such cells make up a memory word The model described below uses long-term-memory words of approximately equal length, comparable to the length of a short-term memory word, in the interests of ef ciency Associative long-term memory uses a style of search in which a subset of cues held in short-term memory are selected randomly and enabled to retrieve images from long-term memory A system of multiple match resolution is included in case there is more than one response to a given set of cues, thus avoiding a confusing jumble of superimposed images.

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Each con guration of the pinholes enables us to characterize W(Dx, Dy, ", ", n) as x y a function of n for a particular value of (Dx, Dy, ", "). One can imagine moving the x y pinholes around the plane to fully sample the cross-spectral density, but the two-pinhole approach is not a very ef cient sampling mechanism and faces severe challenges with respect to sampling rate and range for large or small values of Dx. The two-pinhole approach is nevertheless the basic strategy underlying the Michelson stellar interferometer [58]. The sampling ef ciency can be improved by using lens combinations to reduce the spatial pattern due to one pair of pinholes to a line, thus enabling two slit characterization of distinct values of Dx and " in x parallel. Dual-slit sampling enables full utilization of a 2D measurement plane for independent measurements, but the mechanical complexity and limited throughput of this approach pose challenges. 6.3.3 Rotational Shear Interferometry

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In the model, many images per second can be recalled and tested for importance and thus for entry into conscious short-term memory The same neural paths that conduct cues from short-term memory down into subconscious long-term memory are modeled as serving to convey features for memorization Neural connections go to all words in parallel, including blank words Neural circuits are provided to select the next available blank word for features to be memorized Selecting the next available blank work is accomplished by a system of multi-write resolution, since otherwise all available blank words might be identically programmed by one act of memorization, which would eliminate the possibility of additional memorization, at least for the immediate future Modeling as above provides a unique perspective on fundamental topics in memory theory: (1) input output differences, (2) conditions for recall, (3) the role of repetition in memorization, and (4) the meaning of recognition.

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Figure 15-2: Premiere s Color Balance Settings dialog box effect enables you to change an image s color balance by adjusting red, green, and blue color components.

site contacts and customer inquiries into a globally-deployed cloud to develop a worldwide view of business development efforts, marketing program effectiveness, and customer feedback and interactions from global web site activities, help desk and customer support contacts, all from call centers integrated into the same cloud A cloud-enabled sales and marketing operation can enable similar real-time operational pictures of customer data to help react and respond to market signals Cloud-Enabled New Business Unit A cloud-enabled business can be entirely bootstrapped on a cloud-based platform to test a new business model or expand an existing business into a new geography without acquiring dedicated IT infrastructure to support a highly prospective business venture The risk pro le of starting new business ventures changes if it is not necessary to acquire, implement, and maintain an IT datacenter to support the new business.

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