Distance-based information granularity in neighborhood-based granular space

2017 ◽  
Vol 3 (2) ◽  
pp. 93-110 ◽  
Author(s):  
Bing Huang ◽  
Huaxiong Li
Keyword(s):  
Information Granularity

Stability of Number-Processing Based on Information Granularity Associative with Parietal Cortex

2014 ◽  
Vol 519-520 ◽  
pp. 769-774
Author(s):  
Xiu Zhen Wang ◽  
Ri Feng Wang ◽  
Jian Hui Chen ◽  
Wei Quan Gu ◽  
Yue Gu ◽  
...  
Keyword(s):  
Parietal Lobe ◽  
Number Line ◽  
Information Granularity ◽  
Granule Formation ◽  
Domain Specific ◽  
Knowledge Based ◽  
Unit Structure ◽  
Automatic Information ◽  
Arithmetic System ◽  
Cognitive Arithmetic

Stability, the ability to automatically extract and produce the efficient and accurate results of a defined problem without making epistemic assumptions, is discussed here as a possible memory system for understanding complex cognitive functions of the arithmetical learning. Stability is of top priority because it may typify organization of granule (knowledge-based information unit) structure. Memory efficiencies are that they depend on both linguistic factors and exposure to arithmetic training during granule formation or consolidation, supporting the idea of analog coding of numerical representations. Neuroimaging studies suggest that the parietal lobe as a potential substrate for a domain-specific representation of numeric quantities and associative memory mechanisms in stability, and results from these studies indicate that there may be the organization of number-related processes of stability in the parietal lobe. Stability seems to depend on the automatic information-processing system's response to experiential knowledge combining granularity (degree of detail or precision), maturational constraints, spatial factors (mental number line) and linguistic factors, making it an ideal candidate for understanding how these interactions play out in the cognitive arithmetic system.

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