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Related Concept Videos

Cognitive Learning01:21

Cognitive Learning

Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
Implicit Memories01:24

Implicit Memories

Implicit memories, also known as non-declarative memories, are long-term memories that function outside of conscious awareness. These memories influence behavior and skills without explicit knowledge. This type of memory is evident in tasks like playing tennis, snowboarding, and texting. Implicit memory has three subsystems: procedural memory, conditioning, and priming. This type of memory is essential in various activities, from everyday tasks to specialized skills.
One key aspect of implicit...
Generalization, Discrimination, and Extinction01:24

Generalization, Discrimination, and Extinction

Generalization, discrimination, and extinction are key concepts in operant conditioning that influence how behaviors are learned and maintained.
Generalization occurs when a behavior reinforced in one context is performed in similar situations. For instance, a student who studies diligently for calculus and receives excellent grades might apply the same study habits to psychology and history, expecting similar results. Generalization shows how learning in one setting can influence behavior in...
Purposive Learning01:22

Purposive Learning

E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a bonus...
Nonconscious Mimicry01:13

Nonconscious Mimicry

Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
Observational Learning01:12

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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Related Experiment Video

Updated: May 28, 2026

Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization
05:35

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

Implicit and explicit category learning by capuchin monkeys (Cebus apella).

J David Smith1, Matthew J Crossley, Joseph Boomer

  • 1Department of Psychology, University at Buffalo, State University of New York, Buffalo, NY 14260, USA. psysmith@buffalo.edu

Journal of Comparative Psychology (Washington, D.C. : 1983)
|October 26, 2011
PubMed
Summary
This summary is machine-generated.

Capuchin monkeys demonstrate explicit categorization abilities, similar to humans, by easily learning rule-based tasks. This finding suggests shared cognitive evolution for explicit category learning in primates.

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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

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Related Experiment Videos

Last Updated: May 28, 2026

Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization
05:35

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

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

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Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Area of Science:

  • Cognitive Science
  • Comparative Psychology
  • Neuroscience

Background:

  • Human categorization involves explicit, rule-based learning and implicit, associative learning.
  • Previous research has primarily focused on human category learning.

Purpose of the Study:

  • To investigate explicit categorization in New World primates.
  • To extend theories of human category learning to nonhuman primates.

Main Methods:

  • Four capuchins (Cebus apella) were trained on category learning tasks.
  • Stimuli included circular sine-wave gratings varying in spatial frequency and orientation.
  • Tasks involved one-dimensional (rule-based) and two-dimensional (information-integration) solutions.

Main Results:

  • Capuchins dimensionalized stimuli, a characteristic of explicit categorization.
  • Capuchins learned the rule-based task more readily than the information-integration task.
  • Performance mirrored human category learning patterns.

Conclusions:

  • Nonhuman primates possess structural components of human explicit categorization.
  • This capacity is linked to declarative cognition and consciousness in humans.
  • Findings raise questions about the evolutionary origins and phylogenetic distribution of explicit categorization.