Computational models of basal-ganglia pathway functions: focus on functional neuroanatomy
Over the past 15 years, computational models have had a considerable impact on basal-ganglia research. Most of these models implement multiple distinct basal-ganglia pathways and assume them to fulfill different functions. As there is now a multitude of different models, it has become complex to kee...
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Frontiers Media S.A.
2013
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3874581/ |
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pubmed-38745812014-01-10 Computational models of basal-ganglia pathway functions: focus on functional neuroanatomy Schroll, Henning Hamker, Fred H. Neuroscience Over the past 15 years, computational models have had a considerable impact on basal-ganglia research. Most of these models implement multiple distinct basal-ganglia pathways and assume them to fulfill different functions. As there is now a multitude of different models, it has become complex to keep track of their various, sometimes just marginally different assumptions on pathway functions. Moreover, it has become a challenge to oversee to what extent individual assumptions are corroborated or challenged by empirical data. Focusing on computational, but also considering non-computational models, we review influential concepts of pathway functions and show to what extent they are compatible with or contradict each other. Moreover, we outline how empirical evidence favors or challenges specific model assumptions and propose experiments that allow testing assumptions against each other. Frontiers Media S.A. 2013-12-30 /pmc/articles/PMC3874581/ /pubmed/24416002 http://dx.doi.org/10.3389/fnsys.2013.00122 Text en Copyright © 2013 Schroll and Hamker. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Schroll, Henning Hamker, Fred H. |
| spellingShingle |
Schroll, Henning Hamker, Fred H. Computational models of basal-ganglia pathway functions: focus on functional neuroanatomy |
| author_facet |
Schroll, Henning Hamker, Fred H. |
| author_sort |
Schroll, Henning |
| title |
Computational models of basal-ganglia pathway functions: focus on functional neuroanatomy |
| title_short |
Computational models of basal-ganglia pathway functions: focus on functional neuroanatomy |
| title_full |
Computational models of basal-ganglia pathway functions: focus on functional neuroanatomy |
| title_fullStr |
Computational models of basal-ganglia pathway functions: focus on functional neuroanatomy |
| title_full_unstemmed |
Computational models of basal-ganglia pathway functions: focus on functional neuroanatomy |
| title_sort |
computational models of basal-ganglia pathway functions: focus on functional neuroanatomy |
| description |
Over the past 15 years, computational models have had a considerable impact on basal-ganglia research. Most of these models implement multiple distinct basal-ganglia pathways and assume them to fulfill different functions. As there is now a multitude of different models, it has become complex to keep track of their various, sometimes just marginally different assumptions on pathway functions. Moreover, it has become a challenge to oversee to what extent individual assumptions are corroborated or challenged by empirical data. Focusing on computational, but also considering non-computational models, we review influential concepts of pathway functions and show to what extent they are compatible with or contradict each other. Moreover, we outline how empirical evidence favors or challenges specific model assumptions and propose experiments that allow testing assumptions against each other. |
| publisher |
Frontiers Media S.A. |
| publishDate |
2013 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3874581/ |
| _version_ |
1612042021353029632 |