Literature DB >> 24202810

Visual prototype formation with discontinuous representation of dimensions of variability.

P G Neumann1.   

Abstract

The prototype-distance model (Posner, 1969) predicts that when a series of similar visual stimuli are experienced, a prototype is abstracted at the point in the multidimensional similarity structure which represents the greatest similarity to all stimuli, whether the elements of the prototype have actually been experienced or not. The attribute-frequency model (Neumann, 1974) predicts the prototype as a pattern composed of the most frequently experienced elements on each dimension of variability. In three experiments, it was determined that: (1) Under some conditions, a prototype is formed of unexperienced values, and, under other conditions, the best recognized stimuli are those incorporating the most frequent values; (2) the present form of the prototype-distance model cannot account for best recognized stimuli being other than the central tendency; and, (3) the attribute-frequency model can, in principle, account for either finding by incorporating additional assumptions about the specificity with which values on dimensions of variability are encoded.

Year:  1977        PMID: 24202810     DOI: 10.3758/BF03197361

Source DB:  PubMed          Journal:  Mem Cognit        ISSN: 0090-502X


  4 in total

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Authors:  D A GRANT
Journal:  Psychol Bull       Date:  1956-03       Impact factor: 17.737

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Authors:  R C OLDFIELD
Journal:  Br J Med Psychol       Date:  1954-02

3.  An attribute frequency model for the abstraction of prototypes.

Authors:  P G Neumann
Journal:  Mem Cognit       Date:  1974-03

4.  The abstraction of visual prototypes by children.

Authors:  C J Posnansky; P G Neumann
Journal:  J Exp Child Psychol       Date:  1976-06
  4 in total
  10 in total

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2.  The prototype effect in face recognition: extension and limits.

Authors:  R Cabeza; V Bruce; T Kato; M Oda
Journal:  Mem Cognit       Date:  1999-01

Review 3.  On the nature of implicit categorization.

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4.  Transformation rules in concept learning.

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Journal:  Mem Cognit       Date:  1978-09

5.  Influence of manipulated category knowledge on prototype classification and recognition.

Authors:  D Homa; B Goldhardt; L Burruel-Homa; J C Smith
Journal:  Mem Cognit       Date:  1993-07

6.  Typicality effects in logically defined categories.

Authors:  L E Bourne
Journal:  Mem Cognit       Date:  1982-01

7.  Feature frequency in concept learning: What is counted?

Authors:  R T Kellogg
Journal:  Mem Cognit       Date:  1981-03

8.  Feature frequency and hypothesis testing in the acquisition of rule-governed concepts.

Authors:  R T Kellogg
Journal:  Mem Cognit       Date:  1980-05

9.  Effects of category diversity on learning, memory, and generalization.

Authors:  Ulrike Hahn; Todd M Bailey; Lucy B C Elvin
Journal:  Mem Cognit       Date:  2005-03

10.  Characterizing the impact of category uncertainty on human auditory categorization behavior.

Authors:  Adam M Gifford; Yale E Cohen; Alan A Stocker
Journal:  PLoS Comput Biol       Date:  2014-07-17       Impact factor: 4.475

  10 in total

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