The Experts below are selected from a list of 137535 Experts worldwide ranked by ideXlab platform

M A Mcdaniel - One of the best experts on this subject based on the ideXlab platform.

  • Retrieval in prospective Memory: Multiple processes or just delay?
    Quarterly Journal of Experimental Psychology, 2019
    Co-Authors: Francis T. Anderson, M A Mcdaniel
    Abstract:

    In prospective Memory (PM) research, a common finding is that PM accuracy is greater using focal, rather than nonfocal, cues. Under the multiprocess framework, the high PM performance for focal cues (cues that facilitate noticing of the target), often in the absence of task interference, reflects people's ability to rely on spontaneous retrieval processes. By contrast, nonfocal cues (cues that do not facilitate noticing) require monitoring. A competing explanation suggests that a single process underlies focal versus nonfocal PM: People adjust their delay in ongoing responding to allow enough time for PM information to reach awareness (delay theory). Participants' lower nonfocal performance arises because they fail to delay responding to a sufficient degree; with focal cues, the PM information accumulation rate is fast enough that no delay is necessary (and thus most everyone performs well). We sought to improve nonfocal PM performance by pairing a PM task with fast information accumulation to an ongoing task for which the requisite information accumulated more slowly. Reasoning from delay theory, we expected PM accuracy levels in this nonfocal PM task to approximate that observed in a focal PM task (for which the PM tasks were identical). In contrast to this expectation, the focal condition displayed significantly higher PM accuracy (despite demonstrating a reliably shorter response delay). In light of these findings, we concluded that the multiprocess interpretation is favoured.

  • Prospective Memory: Multiple retrieval processes
    Current Directions in Psychological Science, 2005
    Co-Authors: Gilles O. Einstein, M A Mcdaniel
    Abstract:

    An interesting challenge for researchers who study prospective Memory is to explain how people recognize environmental events as cues for actions. Whereas some theorists propose that a capacity-consuming monitoring process is the only means by which intentions can be retrieved, we argue that the cognitive system relies on Multiple processes, including spontaneous processes that reflexively respond to the presence of target events. We present evidence for the existence of spontaneous retrieval processes and apply the idea of Multiple processes to mixed findings on age-related decline in prospective Memory.

Gilles O. Einstein - One of the best experts on this subject based on the ideXlab platform.

  • Prospective Memory: Multiple retrieval processes
    Current Directions in Psychological Science, 2005
    Co-Authors: Gilles O. Einstein, M A Mcdaniel
    Abstract:

    An interesting challenge for researchers who study prospective Memory is to explain how people recognize environmental events as cues for actions. Whereas some theorists propose that a capacity-consuming monitoring process is the only means by which intentions can be retrieved, we argue that the cognitive system relies on Multiple processes, including spontaneous processes that reflexively respond to the presence of target events. We present evidence for the existence of spontaneous retrieval processes and apply the idea of Multiple processes to mixed findings on age-related decline in prospective Memory.

Chuanqi Zhu - One of the best experts on this subject based on the ideXlab platform.

  • LCTES - Optimizing compiler for shared-Memory Multiple SIMD architecture
    ACM SIGPLAN Notices, 2006
    Co-Authors: Weihua Zhang, Xinglong Qian, Ye Wang, Binyu Zang, Chuanqi Zhu
    Abstract:

    With the rapid growth of multimedia and game, these applications put more and more pressure on the processing ability of modern processors. Multiple SIMD architecture is widely used in multimedia processing field as a multimedia accelerator.With the consideration of power consumption and chip size, shared Memory Multiple SIMD architecture is mainly used in embedded SOCs. In order to further fit mobile environment, there is the constraint of limited register number as well. Although shared Memory Multiple SIMD architecture simplify the chip design, these constraints are the major obstacles to map the real multimedia applications to these architectures. Until now, to our best knowledge, there is little research on the optimizing techniques for shared Memory Multiple SIMD architecture.In this paper, we present a compiler framework, which aims at automatically generating high performance codes for shared Memory Multiple SIMD architecture. In this framework, we reduce the competition of shared data bus through increasing the register locality, improve the utilization of data bus by read-only data vector replication and solve the problem of limited register number through a resource allocation algorithm. The framework also handlers the issues concerning on data transformation. As the experimental results shown, this framework is successful in mapping real multimedia applications to shared Memory Multiple SIMD architecture. It leads to an average speedup by a factor of 3.19 and an average utilization of SM-SIMD architecture with 8 SIMD units by a factor of 52.6%.

  • LCPC - Data pipeline optimization for shared Memory Multiple-SIMD architecture
    Languages and Compilers for Parallel Computing, 1
    Co-Authors: Weihua Zhang, Binyu Zang, Tao Bao, Chuanqi Zhu
    Abstract:

    The rapid growth of multimedia applications has been putting high pressure on the processing capability of modern processors, which leads to more and more modern multimedia processors employing parallel single instruction Multiple data (SIMD) units to achieve high performance. In embedded system on chips (SOCs), shared Memory Multiple-SIMD architecture becomes popular because of its less power consumption and smaller chip size. In order to match the properties of some multimedia applications, there are interconnections among Multiple SIMD units. In this paper, we present a novel program transformation technique to exploit parallel and pipelined computing power of modern shared-Memory Multiple-SIMD architecture. This optimizing technique can greatly reduce the conflict of shared data bus and improve the performance of applications with inherent data pipeline characteristics. Experimental results show that our method provides impressive speedup. For a shared Memory Multiple-SIMD architecture with 8 SIMD units, this method obtains more than 3.6X speedup for the multimedia programs.

Larry R Squire - One of the best experts on this subject based on the ideXlab platform.

  • The Cognitive Neuroscience of Human Memory Since H.M.
    Annual Review of Neuroscience, 2011
    Co-Authors: Larry R Squire, John T. Wixted
    Abstract:

    Work with patient H.M., beginning in the 1950s, established key principles about the organization of Memory that inspired decades of experimental work. Since H.M., the study of human Memory and its disorders has continued to yield new insights and to improve understanding of the structure and organization of Memory. Here we review this work with emphasis on the neuroanatomy of medial temporal lobe and diencephalic structures important for Memory, Multiple Memory systems, visual perception, immediate Memory, Memory consolidation, the locus of long-term Memory storage, the concepts of recollection and familiarity, and the question of how different medial temporal lobe structures may contribute differently to Memory functions.

  • declarative and nondeclarative Memory Multiple brain systems supporting learning and Memory
    Journal of Cognitive Neuroscience, 1992
    Co-Authors: Larry R Squire
    Abstract:

    The topic of Multiple forms of Memory is considered from a biological point of view. Fact-and-event (declarative, explicit) Memory is contrasted with a collection of non conscious (non-declarative, implicit) Memory abilities including skills and habits, priming, and simple conditioning. Recent evidence is reviewed indicating that declarative and non declarative forms of Memory have different operating characteristics and depend on separate brain systems. A brain-systems framework for understanding Memory phenomena is developed in light of lesion studies involving rats, monkeys, and humans, as well as recent studies with normal humans using the divided visual field technique, event-related potentials, and positron emission tomography (PET).

Mikhail Moklyachuk - One of the best experts on this subject based on the ideXlab platform.

  • Minimax-robust forecasting of sequences with periodically stationary long Memory Multiple seasonal increments
    Statistics Optimization & Information Computing, 2020
    Co-Authors: Maksym Luz, Mikhail Moklyachuk
    Abstract:

    We introduce a stochastic sequence $\zeta(k)$ with periodically stationary generalized Multiple increments of fractional order which combines cyclostationary, multi-seasonal, integrated and fractionally integrated patterns. We solve the problem of optimal estimation of linear functionals constructed from unobserved values of the stochastic sequence $\zeta(k)$  based on its  observations at points $ k<0$. For sequences with known matrices of spectral densities, we obtain formulas for calculating values of the mean square errors and the spectral characteristics of the optimal estimates of the functionals. Formulas that determine the least favorable spectral densities and minimax (robust) spectral characteristics of the optimal linear estimates of the functionals are proposed in the case where spectral densities of the sequence are not exactly known while some sets of admissible spectral densities are given.

  • Minimax-robust forecasting of sequences with periodically stationary long Memory Multiple seasonal increments
    arXiv: Statistics Theory, 2020
    Co-Authors: Maksym Luz, Mikhail Moklyachuk
    Abstract:

    We introduce stochastic sequences $\zeta(k)$ with periodically stationary generalized Multiple increments of fractional order which combines cyclostationary, multi-seasonal, integrated and fractionally integrated patterns. We solve the problem of optimal estimation of linear functionals constructed from unobserved values of stochastic sequences $\zeta(k)$ based on their observations at points $ k