Self-induced memory distortions and the allocation of processing resources at encoding and retrieval

2010 ◽  
pp. 533-558
Author(s):  
Matthew S Shane ◽  
Jordan B Peterson
Keyword(s):  
Memory Distortions ◽  
Processing Resources ◽  
Encoding And Retrieval

Evidence for Graded Central Processing Resources in a Sequential Movement Task

2014 ◽  
Author(s):  
Willem Bastiaan Verwey ◽  
Elger Abrahamse ◽  
Marit Ruitenberg
Keyword(s):  
Central Processing ◽  
Sequential Movement ◽  
Processing Resources

The effect of genome-wide supported variants in CACNA1C and NRGN on functional correlates of episodic memory encoding and retrieval

2011 ◽  
Vol 44 (06) ◽  
Author(s):  
A Krug ◽  
SH Witt ◽  
S Krach ◽  
C Konrad ◽  
MM Nöthen ◽  
...  
Keyword(s):  
Episodic Memory ◽  
Memory Encoding ◽  
Genome Wide ◽  
Encoding And Retrieval

Relation of Students' Achievement, Encoding and Retrieval in Middle and High School

2013 ◽  
Vol 14 (1) ◽  
pp. 331-352
Author(s):  
Hyosik Choi ◽  
민지연 ◽  
김남희 ◽  
Jongho Shin
Keyword(s):  
High School ◽  
Encoding And Retrieval

Software platform for automated preparation and analytical processing of heterogeneous datasets

2020 ◽  
pp. 15-20 ◽  
Author(s):  
E. D. Avedyan ◽  
I. V. Voronkov
Keyword(s):  
Data Processing ◽  
Analytical Data ◽  
Volume Growth ◽  
Software Platform ◽  
External Data ◽  
Heterogeneous Datasets ◽  
Data Volume ◽  
Processing Resources ◽  
Modular Platform ◽  
Network Technologies

Summary: the article proposes new software platform for automating the processes of preprocessing and marking up datasets with the aim of further solving analytical problems such as image classification and processing textual and parametric information using neural network technologies. The software platform uses modern technologies and combines a large number of methods in the form of a modular platform, which can be supplemented as the tasks of analytical data processing become more complicated. The need to develop such a software platform is dictated primarily by the fact that, given the current level of data volume growth, the actual transition to deep data analytics remains unattainable without such software platforms, since confidentiality, access to information and the use of external data processing resources are required.

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