Integrative neurocomputational perspectives on cognitive aging, neuromodulation, and representation
(2002) In Neuroscience and Biobehavioral Reviews 26(7). p.795-808- Abstract
Besides neuroanatomical changes, neuromodulatory mechanisms are also compromised during aging. Neural network models are suitable tools for exploring the relatively broad and homogenous neuromodulatory influences on cortical function. Computational approaches for understanding neuromodulation of the dynamic properties of cortical function and recent neurocomputational theories relating different aspects of cognitive aging with declines in neuromodulation are reviewed. Considered within an integrative cross-level neurocomputational framework, aging-related decline in dopaminergic neuromodulation reduces the fidelity of neural information and gives rise to less distinctive neural pattern representations that may underlie various facets of... (More)
Besides neuroanatomical changes, neuromodulatory mechanisms are also compromised during aging. Neural network models are suitable tools for exploring the relatively broad and homogenous neuromodulatory influences on cortical function. Computational approaches for understanding neuromodulation of the dynamic properties of cortical function and recent neurocomputational theories relating different aspects of cognitive aging with declines in neuromodulation are reviewed. Considered within an integrative cross-level neurocomputational framework, aging-related decline in dopaminergic neuromodulation reduces the fidelity of neural information and gives rise to less distinctive neural pattern representations that may underlie various facets of aging cognitive and, possibly also, sensorimotor phenomena.
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- author
- Li, Shu Chen and Sikström, Sverker LU
- organization
- publishing date
- 2002-11
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Aging, Cognition, Dopamine, Neural networks, Neuromodulation, Pattern representation, Sensorimotor
- in
- Neuroscience and Biobehavioral Reviews
- volume
- 26
- issue
- 7
- pages
- 14 pages
- publisher
- Elsevier
- external identifiers
-
- pmid:12470691
- scopus:0036859410
- ISSN
- 0149-7634
- DOI
- 10.1016/S0149-7634(02)00066-0
- language
- English
- LU publication?
- yes
- additional info
- Funding Information: The preparation of this manuscript was sponsored by the support of the Max Planck Institute for Human Development to the first author and a research grant from Humanistiska Samhällsvetenskapliga Forskningsrådet (HSFR) to the second author. The first author thanks Peter A. Frensch and Ulman Lindenberger for their contributions during previous collaborations on related research. We thank Julia Delius for helpful comments on previous versions of the manuscript.
- id
- 2b9a9359-c1d2-487b-ac5c-9c3400094f59
- date added to LUP
- 2021-11-04 14:27:33
- date last changed
- 2024-06-15 20:35:38
@article{2b9a9359-c1d2-487b-ac5c-9c3400094f59, abstract = {{<p>Besides neuroanatomical changes, neuromodulatory mechanisms are also compromised during aging. Neural network models are suitable tools for exploring the relatively broad and homogenous neuromodulatory influences on cortical function. Computational approaches for understanding neuromodulation of the dynamic properties of cortical function and recent neurocomputational theories relating different aspects of cognitive aging with declines in neuromodulation are reviewed. Considered within an integrative cross-level neurocomputational framework, aging-related decline in dopaminergic neuromodulation reduces the fidelity of neural information and gives rise to less distinctive neural pattern representations that may underlie various facets of aging cognitive and, possibly also, sensorimotor phenomena.</p>}}, author = {{Li, Shu Chen and Sikström, Sverker}}, issn = {{0149-7634}}, keywords = {{Aging; Cognition; Dopamine; Neural networks; Neuromodulation; Pattern representation; Sensorimotor}}, language = {{eng}}, number = {{7}}, pages = {{795--808}}, publisher = {{Elsevier}}, series = {{Neuroscience and Biobehavioral Reviews}}, title = {{Integrative neurocomputational perspectives on cognitive aging, neuromodulation, and representation}}, url = {{http://dx.doi.org/10.1016/S0149-7634(02)00066-0}}, doi = {{10.1016/S0149-7634(02)00066-0}}, volume = {{26}}, year = {{2002}}, }