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Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...
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Related Experiment Video

Updated: Jul 24, 2025

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
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The Overview of Cognitive Aging Models.

Dandan Wang1,2, Zhihao Tang1,2, Jiawei Zhao1,2

  • 1State Key Laboratory of Cognitive Neuroscience and Learning, Faculty of Psychology, Beijing Normal University, Beijing, China.

Advances in Experimental Medicine and Biology
|July 7, 2023
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Cognitive aging models explore age-related cognitive decline using behavioral and neural perspectives. These models integrate educational, biological, and sociological factors with neuroimaging findings to explain cognitive changes over time.

Keywords:
Behavioral modelsCognitive agingCognitive functionNeural models

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Area of Science:

  • Gerontology
  • Neuroscience
  • Cognitive Psychology

Background:

  • Age-related cognitive decline is a significant concern.
  • Understanding the mechanisms of cognitive aging is crucial for interventions.

Purpose of the Study:

  • To introduce behavioral and neural models of cognitive aging.
  • To explain the underlying mechanisms of age-related cognitive changes.

Main Methods:

  • Review of existing behavioral aging theories (educational, biological, sociological).
  • Analysis of neuroimaging studies on aging.
  • Synthesis of behavioral and neural models.

Main Results:

  • Behavioral models offer partial explanations for aging from various perspectives.
  • Neural models, informed by imaging technology, explain aging phenomena.
  • Behavioral and neural models are complementary in understanding cognitive aging.

Conclusions:

  • Cognitive aging models integrate diverse factors to explain age-related cognitive changes.
  • The synergy between behavioral and neural models deepens our understanding of cognitive aging.