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Related Concept Videos

Language and Cognition01:27

Language and Cognition

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.
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
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Introduction to Cognitive Psychology01:20

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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
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Reason and Intuition01:37

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Cognitivism01:17

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Structured cognition and neural systems: from rats to language.

Francesco P Battaglia1, Gideon Borensztajn, Rens Bod

  • 1Center for Neuroscience - Swammerdam Institute for Life Sciences, Universiteit van Amsterdam, Science Park 904 1098XH, Amsterdam, The Netherlands. F.P.Battaglia@uva.nl

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Summary

Cognition relies on combining simple representations into complex ones. This study uses computational linguistics to model memory and perception, revealing insights into semantic memory and neural mechanisms.

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Area of Science:

  • Cognitive Science
  • Computational Linguistics
  • Neuroscience

Background:

  • Animal and human cognition often involves forming complex representations from simpler, primitive ones through rule-governed combinations.
  • Compositionality is a key feature observed in perception and memory systems.
  • Existing computational models often lack cognitive or neurobiological grounding.

Purpose of the Study:

  • To review evidence for compositionality in cognition.
  • To propose a computational approach using linguistics to model cognitive structure.
  • To present novel models of memory consolidation, semantic memory, and syntactic parsing.

Main Methods:

  • Reviewing existing evidence for cognitive compositionality.
  • Applying algorithms from computational linguistics to model memory consolidation and semantic memory.
  • Developing a neurally inspired model for syntactic parsing informed by memory neurobiology.

Main Results:

  • Demonstrated the utility of computational linguistics techniques for modeling cognitive representations.
  • Developed models showing analogies between language acquisition, semantic memory, and memory consolidation.
  • Proposed potential neural mechanisms for memory consolidation implemented in computational algorithms.

Conclusions:

  • Cognitive processes, including memory and perception, exhibit compositionality.
  • Computational linguistics offers valuable tools for understanding cognitive structure.
  • Interdisciplinary approaches combining computational, linguistic, and neurobiological insights can advance our understanding of memory and cognition.