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Cognitive mechanisms in numerical processing: evidence from acquired dyscalculia
1Cognitive Science Department, Johns Hopkins University, Baltimore, MD 21218.
Cognition
|August 1, 1992
Summary
This study examines acquired dyscalculia, a numerical processing deficit from brain damage. Analyzing these impairments offers insights into normal cognitive functions and the brain
Area of Science:
- Cognitive Neuropsychology
- Neuroscience
- Psychology
Background:
- Acquired dyscalculia results from brain damage, impairing numerical processing.
- Understanding these deficits can illuminate normal cognitive mechanisms.
Purpose of the Study:
- To review current research on acquired dyscalculia.
- To explore how studying acquired deficits informs our understanding of normal numerical cognition.
- To examine the functional architecture and internal components of numerical processing.
Main Methods:
- Review of cognitive neuropsychological research on acquired dyscalculia.
- Analysis of impaired performance patterns to infer normal cognitive processes.
- Examination of studies on the functional architecture of numerical processing mechanisms.
- Investigation into the internal structure of individual processing components.
Main Results:
- Inferences about normal cognition can be drawn from patterns of acquired deficits.
- Research explores the general functional architecture of numerical processing.
- Studies probe the internal structure and functioning of specific processing components.
Conclusions:
- Analysis of acquired dyscalculia provides valuable insights into normal numerical processing.
- Understanding the cognitive architecture of numerical cognition is advanced by studying brain-damaged individuals.
- Further research can elucidate the detailed functioning of individual numerical processing components.