ArticleFrontiers in neuroscience2016
Believer-Skeptic Meets Actor-Critic: Rethinking the Role of Basal Ganglia Pathways during Decision-Making and Reinforcement Learning.
Article in Frontiers in neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- From Sensation to Action: Neuroplasticity, Cognitive-Motor Training, and Emerging Biomarkers of Adaptation.Brain sciences · 2026Review
- How the dynamic interplay of cortico-basal ganglia-thalamic pathways shapes the time course of deliberation and commitment.PLoS computational biology · 2026Article
- Learning reweights the decision dynamics of cortico-basal ganglia-thalamic pathways from deliberation to commitment.bioRxiv : the preprint server for biology · 2026Article
- How cortico-basal ganglia-thalamic subnetworks can shift decision policies to increase reward rate.PLoS computational biology · 2025Article
- A neural network model combining the successor representation and actor-critic methods reveals effective biological use of the representation.Frontiers in computational neuroscience · 2025Article
- CBGTPy: An extensible cortico-basal ganglia-thalamic framework for modeling biological decision making.PloS one · 2025Article
- Arkypallidal neurons in the external globus pallidus can mediate inhibitory control by altering competition in the striatum.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- A Sequential Sampling Approach to the Integration of Habits and Goals.Computational brain & behavior · 2024Article
- CBGTPy: An extensible cortico-basal ganglia-thalamic framework for modeling biological decision making.bioRxiv : the preprint server for biology · 2024Article
- D2 dopamine receptor expression, reactivity to rewards, and reinforcement learning in a complex value-based decision-making task.Social cognitive and affective neuroscience · 2024Article
- Rethinking the external globus pallidus and information flow in cortico-basal ganglia-thalamic circuits.ArXiv · 2023Article
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- Basal ganglia for beginners: the basic concepts you need to know and their role in movement control.Frontiers in systems neuroscience · 2023Review
- Activation, but not inhibition, of the indirect pathway disrupts choice rejection in a freely moving, multiple-choice foraging task.Cell reports · 2022Article
- Astrocyte-neuron interaction in the dorsal striatum-pallidal circuits and alcohol-seeking behaviors.Neuropharmacology · 2021Review
- A biologically constrained spiking neural network model of the primate basal ganglia with overlapping pathways exhibits action selection.The European journal of neuroscience · 2021Article
- Neural Mechanisms of Human Decision-Making.Cognitive, affective & behavioral neuroscience · 2021Article
- Ventral Capsule/Ventral Striatum Stimulation in Obsessive-Compulsive Disorder: Toward a Unified Connectomic Target for Deep Brain Stimulation?Neuromodulation : journal of the International Neuromodulation Society · 2021Article
- Adiposity covaries with signatures of asymmetric feedback learning during adaptive decisions.Social cognitive and affective neuroscience · 2020Article
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2 authors.
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Abstract
The flexibility of behavioral control is a testament to the brain's capacity for dynamically resolving uncertainty during goal-directed actions. This ability to select actions and learn from immediate feedback is driven by the dynamics of basal ganglia (BG) pathways. A growing body of empirical evidence conflicts with the traditional view that these pathways act as independent levers for facilitating (i.e., direct pathway) or suppressing (i.e., indirect pathway) motor output, suggesting instead that they engage in a dynamic competition during action decisions that computationally captures action uncertainty. Here we discuss the utility of encoding action uncertainty as a dynamic competition between opposing control pathways and provide evidence that this simple mechanism may have powerful implications for bridging neurocomputational theories of decision making and reinforcement learning.
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