Authors:
Nadejda Bocheva
1
;
Olga Georgieva
2
and
Miroslava Stefanova
1
Affiliations:
1
Institute of Neurobiology and Bulgarian Academy of Sciences, Bulgaria
;
2
Sofia University, Bulgaria
Keyword(s):
Mixed ANOVA, Fuzzy clustering, Psychophysical experiments, Motion discrimination, Ageing, Visual perception, Individual, Gender and group differences.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Computational Intelligence
;
Data Mining
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Fuzzy Systems
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Vision and Perception
Abstract:
Many cognitive abilities decline with age, but ageing is accompanied by great variability within older population. The aim of the present study is to explore the possibility to differentiate the age-related and the individual differences in visual information processing. Two different analytical methods – mixed ANOVA and fuzzy clustering, were applied to the data of psychophysical experiments on motion direction discrimination. The results suggest that the complementary analysis based on both methods offers new opportunities to retrieve information from the psychophysical studies and to separate the differences due to age and gender from the individual differences of the participants. The proposed data analytic approach allows better understanding of the factors that caused variation in performance with age and can be used as a diagnostic tool to distinguish pathological from normal ageing.