Weiquan Gu

Work place: College of Arts and Sciences, Harbin Normal University, Harbin City, 150301, China

E-mail: guweiq.gu@gmail.com

Website:

Research Interests: Network Architecture, Information Systems, Database Management System, Multimedia Information System, Algorithmic Information Theory

Biography

Gu Weiquan, born in 1965. Research Librarian and M.S. His current research areas are information management, cognition, network information organization.

Author Articles
The Stability of Boolean Rules Memory Based on the Core Systems of Number-Processing

By Xiuzhen Wang Weiquan Gu

DOI: https://doi.org/10.5815/ijem.2011.02.01, Pub. Date: 8 Apr. 2011

Activation of how and where arithmetic operations are displayed in the brain has been observed in various number-processing tasks. However, it remains poorly understood whether stabilized memory of Boolean rules are associated with background knowledge. The present study reviewed behavioral and imaging evidence demonstrating that Boolean problem-solving abilities depend on the core systems of number-processing. The core systems account for a mathematical cultural background, and serve as the foundation for sophisticated mathematical knowledge. The Ebbinghaus paradigm was used to investigate learning-induced changes by functional magnetic resonance imaging (fMRI) in a retrieval task of Boolean rules.

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The Stability of Memory Rules Associative with the Mathematical Thinking Core

By Xiuzhen Wang Weiquan Gu

DOI: https://doi.org/10.5815/ijmecs.2011.01.04, Pub. Date: 8 Feb. 2011

Activation of how and where arithmetic operations are displayed in the brain has been observed in various number-processing tasks. However, it remains poorly understood whether stabilized memory of Boolean rules are associated with background knowledge. The present study reviewed behavioral and imaging evidence demonstrating that Boolean problem-solving abilities depend on the core systems of number-processing. The core systems account for a mathematical cultural background, and serve as the foundation for sophisticated mathematical knowledge. The Ebbinghaus paradigm was used to investigate learning-induced changes by functional magnetic resonance imaging (fMRI) in a retrieval task of Boolean rules. Functional imaging data revealed a common activation pattern in the left inferior parietal lobule and left inferior frontal gyrus during all Boolean tasks, which has been used for number-processing processing in former studies. All other regional activations were tasks-specific and prominently distributed in the left thalamus, bilateral parahippocampal gyrus, bilateral occipital lobe, and other subcortices during contrasting stabilized memory retrieval of Boolean tasks and number-processing tasks. The present results largely verified previous studies suggesting that activation patterns due to number-processing appear to reflect a basic anatomical substrate of stability of Boolean rules memory, which are derived from a network originally related to the core systems of number-processing.

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