Abstract
Representing objects and concepts as points in low-dimensional
shape space defined by distances to other complete object exemplars or
prototypes, expressed as single numbers, misses the key advantages of
representation in terms of hierarchically constructed, meaningful
features of the environment. Generalisation along statistically
significant, near-independent, sparse, cooperative features that stand
directly for various aspects of a concept is essential.
Publisher
Cambridge University Press (CUP)
Subject
Behavioral Neuroscience,Physiology,Neuropsychology and Physiological Psychology
Cited by
2 articles.
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