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Related Concept Videos

Information Processing Approach01:30

Information Processing Approach

The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is also...
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Cognitivism

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Intelligence is often thought to be linked to brain size, but the relationship is more complex than that. While brain size does correlate modestly with some abilities, like verbal skills, the connection is weaker for others, such as spatial reasoning. Other factors, like brain structure, also play crucial roles. For instance, despite Einstein's smaller-than-average brain, his parietal cortex, which is involved in spatial reasoning, was 15% wider, suggesting that neural density might matter more...
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Jean Piaget's theory of cognitive development emphasizes the role of thinking in a child's learning process, suggesting that children are naturally curious about their environment. His approach to development is discontinuous, proposing that cognitive abilities progress through distinct stages, each with unique characteristics. Central to Piaget's theory is schemata—mental structures that allow individuals to understand and interpret the world.
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Evolutionary Psychology01:20

Evolutionary Psychology

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Related Experiment Video

Updated: May 19, 2026

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

Individual variation in cognitive performance: developmental and evolutionary perspectives.

Alex Thornton1, Dieter Lukas

  • 1Department of Experimental Psychology, University of Cambridge, Cambridge, UK. jant2@cam.ac.uk

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|August 29, 2012
PubMed
Summary
This summary is machine-generated.

Individual variation in animal cognition is crucial but often overlooked. Focusing on species averages hinders understanding cognitive evolution; standardized methods and data sharing are needed.

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Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking
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Last Updated: May 19, 2026

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
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Published on: December 16, 2010

Area of Science:

  • Animal behavior
  • Cognitive science
  • Evolutionary biology

Background:

  • Animal cognition studies often highlight individual variation but neglect its causes and consequences.
  • Overemphasis on species-level capacities can obscure the importance of individual differences in cognitive research.

Purpose of the Study:

  • To argue for the significance of individual variation in animal cognition research.
  • To explore developmental and evolutionary interpretations of individual differences.
  • To examine predictors of individual cognitive performance using meta-analyses.

Main Methods:

  • Conducted meta-analyses of published animal cognition studies.
  • Examined the influence of factors like age, sex, rearing, and experience on cognitive performance.
  • Assessed the impact of sample size on the robustness of conclusions.

Main Results:

  • Small sample sizes in studies limit reliable conclusions about individual and species differences.
  • Cognitive performance is significantly influenced by age, sex, rearing conditions, and prior experience.
  • Current comparative analyses may be compromised by unaddressed developmental histories.

Conclusions:

  • Standardizing experimental protocols and pooling data across laboratories are essential for robust findings.
  • Understanding cognitive evolution requires investigating the heritability of cognitive traits and their fitness consequences in natural settings.
  • Acknowledging and analyzing individual variation is key to advancing the study of animal cognition, development, and evolution.