2003
DOI: 10.1016/s0364-0213(02)00114-3
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Towards structural systematicity in distributed, statically bound visual representations

Abstract: The problem of representing the spatial structure of images, which arises in visual object processing, is commonly described using terminology borrowed from propositional theories of cognition, notably, the concept of compositionality. The classical propositional stance mandates representations composed of symbols, which stand for atomic or composite entities and enter into arbitrarily nested relationships. We argue that the main desiderata of a representational system -productivity and systematicity -can (ind… Show more

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Cited by 27 publications
(53 citation statements)
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“…Theories (as well as studies with nonhuman primates) suggest that the construction of sparse shape representations is critically dependent on category learning (Kourtzi & Connor, 2011; Doumas & Hummel, 2010; Edelman & Intrator, 2003). Thus, it could be that both children’s dynamic viewing preferences and their ability to represent common objects in terms of sparse geometric shape depend on category learning, which is indexed by vocabulary size.…”
Section: Discussionmentioning
confidence: 99%
“…Theories (as well as studies with nonhuman primates) suggest that the construction of sparse shape representations is critically dependent on category learning (Kourtzi & Connor, 2011; Doumas & Hummel, 2010; Edelman & Intrator, 2003). Thus, it could be that both children’s dynamic viewing preferences and their ability to represent common objects in terms of sparse geometric shape depend on category learning, which is indexed by vocabulary size.…”
Section: Discussionmentioning
confidence: 99%
“…Perry, Samuelson, Malloy & Schiffer, 2010; Smith, Jones, Landau, Gershkoff‐Stowe & Samuelson, 2002). Further, computational models of object recognition succeed on the assumption that sparse representations of 3‐dimensional object shape are a consequence of category learning (Edelman & Intrator, 2003; Doumas & Hummel, 2010). Thus, abstracting the underlying geometric structure of an object’s shape – an ability important to mature object recognition and, by the present results, to object substitutions in play – may depend on learning names for a range of basic‐level category instances (see Perry et al ., 2010).…”
Section: Discussionmentioning
confidence: 99%
“…Indeed, some have argued that eliminating such information is a necessary precondition for accomplishing the invariant representations associated with later regions in the visual hierarchy (e.g. Edelman and Intrator, 2003; Serre et al, 2007). …”
Section: Keeping Irrelevant Information Aroundmentioning
confidence: 99%