The Contribution of the Right Parietal Lobe to Object Recognition

Warrington, Elizabeth K.; Taylor, Angela M.

doi:10.1016/s0010-9452(73)80024-3

Cited by 434 publications

(137 citation statements)

References 12 publications

Supporting

Mentioning

123

Contrasting

Unclassified

Order By: Relevance

“…Thus, the mernosr component of the RMF is likely the component which depends on integrity of the temporal lobe (Lezak, 1995 (1970) thus failed to replicate the previous study by Warrington and James (1967b). Although performance on the Gollin did not differ significantly between lesion groups in the study by Warrington and Rabin (1970), the highest error score was found in the right parietal P U P - Warrington and Taylor (1973) The studies by Hamsher et al (1979) and Warrington and James (1967a) differed in the extent to which their tasks depended on memory processes. Hamsher et al (1979) used a face discrimination task that required participants to match picutures of unknown faces.…”

Section: Tests Sensitive To Frontal Lobe Functioningmentioning

confidence: 86%

Multiple Chemical Sensitivity: A Test of the Olfactory-Limbic Model

Brown-DeGagne

McGlone

1999

Journal of Occupational & Environmental Medicine

View full text Add to dashboard Cite

Section: Tests Sensitive To Frontal Lobe Functioningmentioning

confidence: 86%

Multiple Chemical Sensitivity: A Test of the Olfactory-Limbic Model

Brown-DeGagne

McGlone

1999

Journal of Occupational & Environmental Medicine

View full text Add to dashboard Cite

“…Le modèle de Biederman propose que tous les objets perceptibles en modalité visuelle puissent être représentés par un assemblage de formes volumétriques de base appelées géons (geometries ions) (Biederman, 1987;Biederman & Cooper, 1991;Biederman & Ju, 1988 Cette approche de la reconnaissance d'objet spécifie qu'elle est réalisée à partir de l'information tirée de l'objet lui-même, sans que les connaissances de l'individu soient impliquées (Marr, 1982 (Cave & Kosslyn, 1993;Warrington & Taylor, 1973 ;Warrington & Taylor, 1978). Pourtant, de son côté, Marr suggère que c'est à partir de la représentation 3D que l'objet peut être reconnu, peu importe l'angle de vue.…”

Section: Modèles Cognitifs De La Reconnaissance Visuelleunclassified

Implication des fonctions exécutives et mise en évidence d items significatifs dans le test d organisation visuelle de Hooper

Mailloux¹

2004

View full text Add to dashboard Cite

“…He argued forcefully and coherently for vision to be treated as a data-driven, bottom-up process which delivers representations of three-dimensional (3D) shape from twodimensional (2D) images. Marr cites studies of vision in humans as being in£uential in the development of his theories: in particular the mental rotation experiments of Shepard & Metzler (1971) and the parietal lesion data of Warrington & Taylor (1973, 1978.…”

Section: Bac Kg Rou N Dmentioning

confidence: 99%

Knowledge-based vision and simple visual machines

Cliff

Noble

1997

Phil. Trans. R. Soc. Lond. B

View full text Add to dashboard Cite

The vast majority of work in machine vision emphasizes the representation of perceived objects and events: it is these internal representations that incorporate the`knowledge' in knowledge-based vision or form thè models' in model-based vision. In this paper, we discuss simple machine vision systems developed by arti¢cial evolution rather than traditional engineering design techniques, and note that the task of identifying internal representations within such systems is made di¤cult by the lack of an operational de¢nition of representation at the causal mechanistic level. Consequently, we question the nature and indeed the existence of representations posited to be used within natural vision systems (i.e. animals). We conclude that representations argued for on a priori grounds by external observers of a particular vision system may well be illusory, and are at best place-holders for yet-to-be-identi¢ed causal mechanistic interactions. That is, applying the knowledge-based vision approach in the understanding of evolved systems (machines or animals) may well lead to theories and models that are internally consistent, computationally plausible, and entirely wrong. I N T RO DUC T IONThe vast majority of work in machine vision emphasizes the representation of perceived objects and events: it is these internal representations that are thè knowledge' in knowledge-based vision and thè models' in model-based vision. In this paper, we argue that such notions of representation may have little use in explaining the operation of simple machine vision systems that have been developed by arti¢cial evolution rather than through traditional engineering design techniques, and which are, therefore, of questionable value in furthering our understanding of vision in animals, which are also the product of evolutionary processes. This is not to say that representations do not exist or are not useful: there are many potential applications of machine vision, of practical engineering importance, where signi¢cant problems are alleviated or avoided altogether by use of appropriate structured representations. Examples include medical imaging, terrain mapping, and tra¤c monitoring (e.g. Taylor et al. 1986;Sullivan 1992).But the success of these engineering endeavours may encourage us to assume that similar representations are of use in explaining vision in animals. In this paper, we argue that such assumptions may be misleading. Yet the assumption that vision is fundamentally dependent on representations (and further assumptions involving the nature of those representations) is widespread. We seek only to highlight problems with these assumptions; problems which appear to stem from incautious use of the notion of`representation'. We argue in particular that the notion of representation as the construction of an internal model representing some external situation is probably not applicable to evolved systems. This paper is intentionally provocative; the arguments put forward below are o¡ered for discussion, rather than as unquestionable tru...

show abstract

The Contribution of the Right Parietal Lobe to Object Recognition

Cited by 434 publications

References 12 publications

Multiple Chemical Sensitivity: A Test of the Olfactory-Limbic Model

Multiple Chemical Sensitivity: A Test of the Olfactory-Limbic Model

Implication des fonctions exécutives et mise en évidence d items significatifs dans le test d organisation visuelle de Hooper

Knowledge-based vision and simple visual machines

Contact Info

Product

Resources

About