Skip to main content
Log in

Episodic and prototype models of category learning

  • Research Report
  • Published:
Cognitive Processing Aims and scope Submit manuscript

Abstract

The question of what processes are involved in the acquisition and representation of categories remains unresolved despite several decades of research. Studies using the well-known prototype distortion task (Posner and Keele in J Exp Psychol 77:353–363, 1968) delineate three candidate models. According to exemplar-based models, we memorize each instance of a category and when asked to decide whether novel items are category members or not, the decision is explicitly based on a similarity comparison with each stored instance. By contrast, prototype models assume that categorization is based on the similarity of the target item to an implicit abstraction of the central tendency or average of previously encountered instances. A third model suggests that the categorization of prototype distortions does not depend on pre-exposure to study exemplars at all and instead reflects properties of the stimuli that are easily learned during the test. The four experiments reported here found evidence that categorization in this task is predicated on the first and third of these models, namely transfer at test and the exemplar-based model. But we found no evidence for the second candidate model that assumed that categorization is based on implicit prototype abstraction.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Notes

  1. Strictly speaking exemplar models are a subordinate category of episodic models we refer to them synonymously because exemplar models require some form of episodic memory to store the instances, although this need not be veridical.

  2. Alpha was set to α = 0.05 for all tests.

  3. Degrees of freedom have been adjusted using the Greenhouse-Geisser correction in cases where the assumption of sphericity is violated.

References

  • Aizenstein HJ, MacDonald AW, Stenger VA, Nebes RD, Larson JK, Ursu S et al (2000) Complementary category learning systems identified using event-related functional MRI. J Cogn Neurosci 12:977–987

    Article  PubMed  CAS  Google Scholar 

  • Ashby FG, Maddox WT (2005) Human category learning. Annu Rev Psychol 56:149–178

    Article  PubMed  Google Scholar 

  • Dienes Z (2008) Subjective measures of unconscious knowledge. Prog Brain Res 168:49–64

    Google Scholar 

  • Dienes Z, Scott R (2005) Measuring unconscious knowledge: distinguishing structural knowledge and judgment knowledge. Psychol Res 69:338–351

    Article  PubMed  Google Scholar 

  • Dienes Z, Altmann GTM, Kwan L, Goode A (1995) Unconscious knowledge of artificial grammars is applied strategically. J Exp Psychol Learn Mem Cogn 21:1322–1338

    Article  Google Scholar 

  • Gureckis TM, James TW, Nosofsky RM (2010) Re-evaluating dissociations between implicit and explicit category learning: an event-related fMRI study. J Cogn Neurosci 23:1–13

    Google Scholar 

  • Henson RNA, Rugg MD, Shallice T, Dolan RJ (2000) Confidence in recognition memory for words: dissociating right prefrontal roles in episodic retrieval. J Cogn Neurosci 12:913–923

    Article  PubMed  CAS  Google Scholar 

  • Hintzman DL (1986) “Schema abstraction” in a multiple-trace memory model. Psychol Rev 93:411–428

    Article  Google Scholar 

  • Juslin P, Winman A, Olsson H (2000) Naive empiricism and dogmatism in confidence research: a critical examination of the hard-easy effect. Psychol Rev 107:384–396

    Article  PubMed  CAS  Google Scholar 

  • Kinder A, Shanks DRS (2001) Amnesia and the declarative/nondeclarative distinction: a recurrent network model of classification, recogntion, and repetition priming. J Cogn Neurosci 13:648–669

    Article  PubMed  CAS  Google Scholar 

  • Kinder A, Shanks DR (2003) Neuropsychological dissociations between priming and recognition: a single-system connectionist account. Psychol Rev 110:728–744

    Article  PubMed  Google Scholar 

  • Kinder A, Shanks DR, Cock J, Tunney RJ (2003) Recollection, fluency, and the explicit/implicit distinction in artificial grammar learning. J Exp Psychol Gen 132:551–565

    Article  PubMed  Google Scholar 

  • Knowlton BJ, Squire LR (1993) The learning of categories: parallel brain systems for item memory and category knowledge. Science 262:1747–1749

    Article  PubMed  CAS  Google Scholar 

  • Kolodny JA (1994) Memory processes in classification learning: an investigation of amnesic performance in categorization of dot patterns and artistic styles. Psychol Sci 5:164–169

    Article  Google Scholar 

  • Kunimoto C, Miller J, Pashler H (2001) Confidence and accuracy of near-threshold discrimination responses. Conscious Cogn 10(3):294–340

    Article  PubMed  CAS  Google Scholar 

  • Little DM, Thurlborn KR (2006) Prototype-distortion category learning: a two-phase learning process across a distributed network. Brain Cogn 60:233–252

    Article  PubMed  Google Scholar 

  • Little DM, Shin SS, Sisco SM, Thurlborn KR (2006) Event-related fMRI of category learning: differences in classification and feedback networks. Brain Cogn 60:244–252

    Article  PubMed  Google Scholar 

  • Lorch RF, Myers JL (1990) Regression analyses of repeated measures data in cognitive research. J Exp Psychol Learn Mem Cogn 16:149–157

    Article  PubMed  Google Scholar 

  • Nosofsky RM, Zaki SR (1998) Dissociations between categorization and recognition in amnesic and normal individuals: an exemplar-based interpretation. Psychol Sci 9:247–255

    Article  Google Scholar 

  • Palmeri TJ, Flanery MA (1999) Learning about categories in the absence of training: profound amnesia and the relationship between perceptual categorization and recognition memory. Psychol Sci 10:526–530

    Article  Google Scholar 

  • Palmeri TJ, Flanery MA (2002) Memory systems and perceptual categorization. In: Ross BH (ed.) The psychology of learning and motivation, Vol 41. Academic Press, San Diego

  • Posner MI, Keele SW (1968) On the genesis of abstract ideas. J Exp Psychol 77:353–363

    Article  PubMed  CAS  Google Scholar 

  • Posner MI, Goldsmith R, Welton KE (1967) Perceived distance and the classification of distorted patterns. J Exp Psychol 73:28–38

    Article  PubMed  CAS  Google Scholar 

  • Reber PJ, Stark CEL, Squire LR (1998a) Contrasting cortical activity associated with category memory and recognition memory. Learn Mem 5:420–428

    PubMed  CAS  Google Scholar 

  • Reber PJ, Stark CEL, Squire LR (1998b) Cortical areas supporting category learning identified using functional MRI. Proc Natl Acad Sci 95:747–750

    Article  PubMed  CAS  Google Scholar 

  • Reber PJ, Gitelman DR, Parrish TB, Mesulam MM (2003) Dissociating explicit and implicit category knowledge with fMRI. J Cogn Neurosci 15:574–583

    Article  PubMed  Google Scholar 

  • Scott RB, Dienes Z (2010) Fluency does not express implicit knowledge of artificial grammars. Cognition 114:372–388

    Article  PubMed  Google Scholar 

  • Shin HJ, Nosofsky RM (1992) Similarity-scaling studies of dot-pattern classification and recognition. J Exp Psychol Gen 121:278–304

    Article  PubMed  CAS  Google Scholar 

  • Smith JD (2002) Exemplar theory’s predicted typicality gradient can be tested and disconfirmed. Psychol Sci 13:437–442

    Article  PubMed  Google Scholar 

  • Smith JD, Minda JP (2002) Distinguishing prototype-based and exemplar-based processes in dot-pattern category learning. J Exp Psychol Learn Mem Cogn 28:800–811

    Article  PubMed  Google Scholar 

  • Squire LR, Knowlton BJ (1995) Learning about categories in the absence of memory. Proc Natl Acad Sci 92:12470–12474

    Article  PubMed  CAS  Google Scholar 

  • Tunney RJ (2005) Sources of confidence judgments in implicit cognition. Psychon Bull Rev 12:367–373

    Article  PubMed  Google Scholar 

  • Tunney RJ (2010) Similarity and confidence in artificial grammar learning. Exp Psychol 57:255–267

    Google Scholar 

  • Tunney RJ, Fernie G, Astle D (2010) An ERP analysis of recognition and categorization decisions in a prototype-distortion task. PLoS ONE 5(4), e10116. doi:10110.11371/journal.pone.0010116

  • Vogels R, Sary G, Dupont P, Orban GA (2002) Human brain regions involved in visual categorization. Neuroimage 16:401–414

    Article  PubMed  Google Scholar 

  • Zaki SR, Nosofsky RM (2004) False protoype enhancement effects in dot pattern categorization. Mem Cogn 32:390–398

    Article  Google Scholar 

  • Zaki SR, Nosofsky RM (2007) A high-distortion enhancement effect in the prototype-learning paradigm: dramatic effects of category learning during test. Mem Cogn 25:3088–3096

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Richard J. Tunney.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Tunney, R.J., Fernie, G. Episodic and prototype models of category learning. Cogn Process 13, 41–54 (2012). https://doi.org/10.1007/s10339-011-0403-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10339-011-0403-2

Keywords

Navigation