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Related Concept Videos

Cognitive Learning01:21

Cognitive Learning

460
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...
460
Classical Conditioning in Daily Life01:17

Classical Conditioning in Daily Life

881
Classical conditioning, a fundamental principle of associative learning, explains various phenomena observed in daily life, such as fear development, the placebo effect, taste aversion, and drug habituation. These applications demonstrate the profound impact of associative learning on human behavior and physiological responses.
John B. Watson and Rosalie Rayner famously demonstrated the development of fear through classical conditioning in their experiment with Little Albert. They paired the...
881
Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

906
Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or...
906

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Related Experiment Videos

Learning headache triggers through experience: A laboratory study.

Dana P Turner1, Timothy T Houle1

  • 1Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Headache
|April 28, 2023
PubMed
Summary
This summary is machine-generated.

Individuals learn headache triggers through repeated exposure and symbolic pairings. Prior beliefs influence how strongly they associate triggers with headache attacks.

Keywords:
Bayesianexperimentalheadache triggerslearning

Related Experiment Videos

Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Behavioral Science

Background:

  • Learning from experience is a key factor in identifying headache triggers.
  • Understanding how trigger beliefs are formed is crucial for headache management.

Purpose of the Study:

  • To investigate the learning process behind headache trigger beliefs.
  • To examine how symbolic pairings influence the association between triggers and headache attacks.

Main Methods:

  • A laboratory study involved 300 adults with headache performing a computer task.
  • Participants rated trigger-headache associations after viewing sequential images of triggers and headache attacks.
  • Cumulative association strength was measured over 30 trials per trigger.

Main Results:

  • Participants demonstrated learning of trigger-headache associations, with median ratings varying by trigger type.
  • A strong correlation was found between true cumulative association strength and participant ratings.
  • Pre-existing beliefs about trigger potency influenced perceived evidence strength, explaining 17% of the variation.

Conclusions:

  • Individuals learn headache trigger associations via repeated exposure to symbolic evidence in a controlled setting.
  • Prior beliefs significantly shape the perception of evidence linking triggers to headache attacks.