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Brain and cognitive evolution: forms of modularity and functions of mind
David C Geary1, Kelly J Huffman
1Department of Psychological Sciences, University of Missouri-Columbia 65211-2500, USA. gearyd@missouri.edu
Psychological Bulletin
|September 11, 2002
Summary
This study explores the genetic and neurobiological basis of cognitive functions, proposing an evolutionary framework for brain development. It examines how genetic factors and developmental experiences interact to shape the neocortex and cognitive abilities.
Area of Science:
- Neuroscience
- Genetics
- Developmental Psychology
- Evolutionary Biology
Background:
- Ongoing debate regarding the relative contributions of genetic predisposition versus developmental experience in shaping neocortical organization and cognitive functions.
- Existing research highlights the complexity of gene-environment interactions in brain development.
Purpose of the Study:
- To propose an evolutionary framework integrating genetic constraints and experiential influences on brain and cognitive development.
- To define the interplay between genetic factors and developmental plasticity in shaping cognitive modules.
- To present a taxonomy of human cognitive modules in folk psychology, folk biology, and folk physics.
Main Methods:
- Review of genetic and neurobiological research.
- Development of an evolutionary framework.
- Taxonomic classification of functional modules.
- Analysis of neural and cognitive plasticity research.
Main Results:
- Identification of 4 forms of modularity and 3 forms of neural and cognitive plasticity.
- Ontogenetic emergence of functional modules in key cognitive domains for humans.
- Integration of genetic constraint and developmental experience in a unified framework.
Conclusions:
- The proposed evolutionary framework effectively reconciles genetic influences with the impact of developmental experiences on cognitive architecture.
- Understanding these interactions is crucial for comprehending human cognitive evolution and development.
- The identified modules and plasticity forms provide a basis for future research in cognitive neuroscience and genetics.