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Neuroplasticity01:01

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Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
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Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping
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Published on: August 12, 2019

Neural and cognitive plasticity: from maps to minds.

Eduardo Mercado1

  • 1Department of Psychology, University at Buffalo, The State University of New York, Buffalo, NY 14260, USA. emiii@buffalo.edu

Psychological Bulletin
|January 16, 2008
PubMed
Summary

Cognitive plasticity, or the ability to learn flexibly, is linked to neural constraints on how the brain represents information. Greater cognitive flexibility may depend on more diverse brain modules and their adaptable network configurations.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Comparative Psychology

Background:

  • Individual and species differences in cognitive skill acquisition are well-documented.
  • Learning experiences and cortical function are known contributors to cognitive differences.
  • The precise neural factors underlying intellectual capacity variability remain largely undetermined.

Purpose of the Study:

  • To present an integrative framework explaining variability in cognitive plasticity.
  • To hypothesize that cognitive plasticity is constrained by neural representations of stimuli.
  • To propose that plasticity depends on cortical module availability and network reconfiguration capacity.

Main Methods:

  • Theoretical framework development.
  • Integration of existing research on neural mechanisms of intelligence.
  • Relating proposed framework to prior theories on brain size, prefrontal cortex function, and neural plasticity.

Main Results:

  • Variability in cognitive plasticity reflects neural constraints on stimulus representation precision and extent.
  • Cognitive plasticity is hypothesized to depend on the number and diversity of cortical modules.
  • Brain's capacity for flexible network reconfiguration and customization of modules is crucial.

Conclusions:

  • The proposed framework offers a unified explanation for cognitive plasticity variations across species, age, and individuals.
  • The framework predicts how cortical structure and function alterations impact intellectual capacity.
  • This model links neural constraints to observable differences in cognitive flexibility and learning.