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Related Concept Videos

Language and Cognition01:27

Language and Cognition

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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
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The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
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Structured Sequence Learning: Animal Abilities, Cognitive Operations, and Language Evolution.

Christopher I Petkov1, Carel Ten Cate2

  • 1Newcastle University Medical School.

Topics in Cognitive Science
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PubMed
Summary
This summary is machine-generated.

Artificial Grammar Learning (AGL) reveals how animals process sequential dependencies, offering insights into language evolution. More research is needed to understand animal sequence processing limits and evolutionary patterns.

Keywords:
Artificial grammar learningBirdsCognitionCombinatorialHumansLanguagePrimatesRodents

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Area of Science:

  • Cognitive Neuroscience
  • Comparative Psychology
  • Evolutionary Linguistics

Background:

  • Human language relies on processing complex temporal dependencies.
  • Artificial Grammar Learning (AGL) models human sequence processing.
  • AGL has been extended to study nonhuman animal sequence processing.

Purpose of the Study:

  • Critically evaluate the growing literature on AGL in nonhuman animals.
  • Compare findings across diverse species (mammals, birds) with human infant studies.
  • Identify advances and remaining uncertainties in animal sequence processing strategies.

Main Methods:

  • Review and synthesis of existing Artificial Grammar Learning (AGL) studies.
  • Cross-species comparisons of sequence processing abilities.
  • Contrast findings in nonhuman animals with human infant AGL research.

Main Results:

  • AGL studies provide insights into how various species process sequential dependencies.
  • Evidence suggests diverse strategies for sequence processing across mammals and birds.
  • Current data is limited, highlighting gaps in understanding animal capacities.

Conclusions:

  • The field of animal AGL is promising for understanding cognitive substrates of sequence processing.
  • Further research is crucial to determine the limits of animal sequence processing.
  • Understanding animal abilities can illuminate the evolutionary path of language.