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Programming experience associated with neural efficiency during figural reasoning

delete2020-08-07
delete11
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Birgit Helmlinger
M
Markus Sommer
M
Martina Feldhammer-Kahr
G
Guilherme Wood
M
Martin Arendasy
S
Silvia Erika Kober *
DOI:10.1038/s41598-020-70360-zdelete
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摘要

摘要

En 中文
In the present study, we investigated neural processes underlying programming experience. Individuals with high programming experience might develop a form of computational thinking, which they can apply on complex problem-solving tasks such as reasoning tests. Therefore, N=20 healthy young participants with previous programming experience and N=21 participants without any programming experience performed three reasoning tests: Figural Inductive Reasoning (FIR), Numerical Inductive Reasoning (NIR), Verbal Deductive Reasoning (VDR). Using multi-channel EEG measurements, task-related changes in alpha and theta power as well as brain connectivity were investigated. Group differences were only observed in the FIR task. Programmers showed an improved performance in the FIR task as compared to non-programmers. Additionally, programmers exhibited a more efficient neural processing when solving FIR tasks, as indicated by lower brain activation and brain connectivity especially in easy tasks. Hence, behavioral and neural measures differed between groups only in tasks that are similar to mental processes required during programming, such as pattern recognition and algorithmic thinking by applying complex rules (FIR), rather than in tasks that require more the application of mathematical operations (NIR) or verbal tasks (VDR). Our results provide new evidence for neural efficiency in individuals with higher programming experience in problem-solving tasks.
Keyword:
DUAL-PROCESS THEORIES
COMPUTATIONAL THINKING
WORKING-MEMORY
TASK CONTENT
EEG ALPHA
INTELLIGENCE
BRAIN
PERFORMANCE
CONNECTIVITY
OSCILLATIONS
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期刊

Scientific Reports 封面图
Scientific Reports
IF:
3.9
论文数:
28.3W
被引数:
83.5W

机构

U
University of Graz
学者数:
6.1K
论文数: 5.8K
被引数: 8.6K
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