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Related Concept Videos

Concepts and Prototypes01:24

Concepts and Prototypes

The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
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Observational Learning

Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning because...
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Cognitive Learning01:21

Cognitive Learning

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Tolman introduced the idea that behavior is influenced by...
Associative Learning01:27

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Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
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Schemata01:17

Schemata

A schema is a mental construct that organizes related concepts, allowing the brain to process information efficiently. Upon activation, schemata facilitate assumptions about people or objects.
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Related Experiment Video

Updated: Jun 2, 2026

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms
07:31

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Published on: February 8, 2019

Episodic and prototype models of category learning.

Richard J Tunney1, Gordon Fernie

  • 1University of Nottingham, Nottingham, UK. richard.tunney@nottingham.ac.uk

Cognitive Processing
|April 12, 2011
PubMed
Summary
This summary is machine-generated.

Category learning relies on remembering specific examples (exemplar-based models) and easily learned test properties, not abstract prototypes. This research clarifies categorization processes in cognitive psychology.

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Last Updated: Jun 2, 2026

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07:31

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Published on: February 8, 2019

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization
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Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization

Published on: April 19, 2017

Area of Science:

  • Cognitive Psychology
  • Experimental Psychology

Background:

  • Categorization processes are fundamental to cognition but remain incompletely understood.
  • Existing research proposes exemplar-based, prototype-based, and test-based learning models for category acquisition.

Purpose of the Study:

  • To investigate which models best explain category acquisition and representation using the prototype distortion task.
  • To differentiate between exemplar-based, prototype-based, and test-dependent categorization mechanisms.

Main Methods:

  • Utilized the prototype distortion task across four experiments.
  • Presented participants with category exemplars and tested their categorization of novel stimuli, including distortions.

Main Results:

  • Found significant evidence supporting the exemplar-based model of categorization.
  • Demonstrated that categorization relies on easily learned stimulus properties during testing (transfer at test).
  • Found no support for implicit prototype abstraction as a primary categorization mechanism.

Conclusions:

  • Categorization is primarily driven by similarity to stored exemplars and readily acquired test-phase features.
  • Implicit prototype abstraction does not appear to be a key process in this categorization paradigm.
  • Findings refine our understanding of how humans learn and represent categories.