Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/22266
Appears in Collections:Psychology Journal Articles
Peer Review Status: Refereed
Title: Neuromodulation of associative and organizational plasticity across the life span: Empirical evidence and neurocomputational modeling
Author(s): Li, Shu-Chen
Brehmer, Yvonne
Shing, Yee Lee
Werkle-Bergner, Markus
Lindenberger, Ulman
Contact Email: yee.shing@stir.ac.uk
Keywords: Neural plasticity
Memory plasticity
Neuromodulation
Neural networks
Signal-to-noise
Neuroconstructivism
Issue Date: 2006
Date Deposited: 29-Sep-2015
Citation: Li S, Brehmer Y, Shing YL, Werkle-Bergner M & Lindenberger U (2006) Neuromodulation of associative and organizational plasticity across the life span: Empirical evidence and neurocomputational modeling. Neuroscience and Biobehavioral Reviews, 30 (6), pp. 775-790. https://doi.org/10.1016/j.neubiorev.2006.06.004
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.
DOI Link: 10.1016/j.neubiorev.2006.06.004
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