title: Computational models of basal-ganglia pathway functions: focus on functional neuroanatomy.
abstract: 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.
authors.affiliation: Bernstein Center for Computational Neuroscience, Charitè - Universitätsmedizin Berlin Berlin, Germany ; Department of Psychology, Humboldt-Universität zu Berlin Berlin, Germany ; Department of Neurology, Charitè - Universitätsmedizin Berlin Berlin, Germany ; Department of Computer Science, Chemnitz University of Technology Chemnitz, Germany.
authors.forename: Henning
authors.initials: H
authors.lastname: Schroll
authors.affiliation: Bernstein Center for Computational Neuroscience, Charitè - Universitätsmedizin Berlin Berlin, Germany ; Department of Computer Science, Chemnitz University of Technology Chemnitz, Germany.
authors.forename: Fred H
authors.initials: FH
authors.lastname: Hamker
keywords: dopamine; gating; reinforcement learning; response selection; response timing; stimulus-response association; working memory