Memory Integration Processing Questionnaire

2009 ◽  
Author(s):  
Ulrike Zetsche ◽  
Thomas Ehring ◽  
Anke Ehlers
Keyword(s):  

2019 ◽  
Author(s):  
Stefan Huijser ◽  
Niels Anne Taatgen ◽  
Marieke K. van Vugt

Preparing for the future during ongoing activities is an essential skill. Yet, it is currently unclear to what extent we can prepare for the future in parallel with another task. In two experiments, we investigated how characteristics of a present task influenced whether and when participants prepared for the future, as well as its usefulness. We focused on the influence of concurrent working memory load, assuming that working memory would interfere most strongly with preparation. In both experiments, participants performed a novel sequential dual-task paradigm, in which they could voluntary prepare for a second task while performing a first task. We identified task preparation by means of eye tracking, through detecting when participants switched their gaze from the first to the second task. The results showed that participants prepared productively, as evidenced by faster RTs on the second task, with only a small cost to the present task. The probability of preparation and its productiveness decreased with general increases in present task difficulty. In contrast to our prediction, we found some but no consistent support for influence of concurrent working memory load on preparation. Only for concurrent high working memory load (i.e., two items in memory), we observed strong interference with preparation. We conclude that preparation is affected by present task difficulty, potentially due to decreased opportunities for preparation and changes in multitasking strategy. Furthermore, the interference from holding two items may reflect that concurrent preparation is compromised when working memory integration is required by both processes.





2013 ◽  
Vol 465-466 ◽  
pp. 764-768 ◽  
Author(s):  
Tanel Aruväli ◽  
Tauno Otto

The paper investigates in-process signal usage in turning for indirect surface roughness measurement. Based on theoretical surface roughness value and in-process signal, a model is proposed for surface roughness evaluation. Time surface roughness and in-process signal surface roughness correlation based analysis is performed to characterize tool wear component behavior among others. Influencing parameters are grouped based on their behavior in time. Moreover, Digital Object Memory based solution and algorithm is proposed to automate indirect surface roughness measurement process.



2021 ◽  
Vol 129 ◽  
pp. 101413
Author(s):  
Hilary E. Miller-Goldwater ◽  
Lucy M. Cronin-Golomb ◽  
Blaire M. Porter ◽  
Patricia J. Bauer


2019 ◽  
Vol 36 ◽  
pp. 100611 ◽  
Author(s):  
Patricia J. Bauer ◽  
Jessica A. Dugan ◽  
Nicole L. Varga ◽  
Tracy Riggins


2017 ◽  
Vol 17 ◽  
pp. 161-168 ◽  
Author(s):  
Neal W Morton ◽  
Katherine R Sherrill ◽  
Alison R Preston


eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
Zhifang Ye ◽  
Liang Shi ◽  
Anqi Li ◽  
Chuansheng Chen ◽  
Gui Xue

Updating old memories with new, more current information is critical for human survival, yet the neural mechanisms for memory updating in general and the effect of retrieval practice in particular are poorly understood. Using a three-day A-B/A-C memory updating paradigm, we found that compared to restudy, retrieval practice could strengthen new A-C memories and reduce old A-B memory intrusion, but did not suppress A-B memories. Neural activation pattern analysis revealed that compared to restudy, retrieval practice led to stronger target representation in the medial prefrontal cortex (MPFC) during the final test. Critically, it was only under the retrieval practice condition that the MPFC showed strong and comparable competitor evidence for both correct and incorrect trials during final test, and that the MPFC target representation during updating was predictive of subsequent memory. These results suggest that retrieval practice is able to facilitate memory updating by strongly engaging MPFC mechanisms in memory integration, differentiation and consolidation.





2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Marlieke T. R. van Kesteren ◽  
Paul Rignanese ◽  
Pierre G. Gianferrara ◽  
Lydia Krabbendam ◽  
Martijn Meeter


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