Neuromodulation of associative and organizational plasticity across the life span: Empirical evidence and neurocomputational modeling

Research output: Contribution to journalReview articleContributedpeer-review

Contributors

  • Shu Chen Li - , Max Planck Institute for Human Development (Author)
  • Yvonne Brehmer - , Max Planck Institute for Human Development (Author)
  • Yee Lee Shing - , Max Planck Institute for Human Development (Author)
  • Markus Werkle-Bergner - , Max Planck Institute for Human Development (Author)
  • Ulman Lindenberger - , Max Planck Institute for Human Development (Author)

Abstract

Developmental plasticity is the key mechanism that allows humans and other organisms to modify and adapt to contextual and experiential influences. Thus, reciprocal co-constructive interactions between behavioral and neuronal plasticity play important roles in regulating neurobehavioral development across the life span. This review focuses on behavioral and neuronal evidence of lifespan differences in associative memory plasticity and plasticity of the functional organization of cognitive and cortical processes, as well as the role of the dopaminergic system in modulating such plasticity. Special attention is given to neurocomputational models that help exploring lifespan differences in neuromodulation of neuronal and behavioral plasticity. Simulation results from these models suggest that lifespan changes in the efficacy of neuromodulatory mechanisms may shape associative memory plasticity and the functional organization of neurocognitive processes by affecting the fidelity of neuronal signal transmission, which has consequences for the distinctiveness of neurocognitive representations and the efficacy of distributed neural coding.

Details

Original languageEnglish
Pages (from-to)775-790
Number of pages16
JournalNeuroscience and biobehavioral reviews
Volume30
Issue number6
Publication statusPublished - 2006
Peer-reviewedYes
Externally publishedYes

External IDs

PubMed 16930705
ORCID /0000-0001-8409-5390/work/142254957

Keywords

Keywords

  • Memory plasticity, Neural networks, Neural plasticity, Neuroconstructivism, Neuromodulation, Signal-to-noise