ArticlePLoS computational biology2019
Reward-driven changes in striatal pathway competition shape evidence evaluation in decision-making.
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Article
- 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
- The striatal indirect pathway mediates hesitation.Nature neuroscience · 2026Article
- How cortico-basal ganglia-thalamic subnetworks can shift decision policies to increase reward rate.PLoS computational biology · 2025Article
- Distinct dopaminergic spike-timing-dependent plasticity rules are suited to different functional roles.Research square · 2025Article
- Distinct dopaminergic spike-timing-dependent plasticity rules are suited to different functional roles.bioRxiv : the preprint server for biology · 2025Article
- Article
- Article
- 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
- CBGTPy: An extensible cortico-basal ganglia-thalamic framework for modeling biological decision making.bioRxiv : the preprint server for biology · 2024Article
- Anti-Hebbian plasticity drives sequence learning in striatum.Communications biology · 2024Article
- Article
- Feasibility of dopamine as a vector-valued feedback signal in the basal ganglia.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Synaptic Plasticity Is Predicted by Spatiotemporal Firing Rate Patterns and Robust to In Vivo-like Variability.Biomolecules · 2022Article
- Identifying control ensembles for information processing within the cortico-basal ganglia-thalamic circuit.PLoS computational biology · 2022Article
- A Neuroscientific and Cognitive Literary Approach to the Treatment of Time in Calderón'sFrontiers in integrative neuroscience · 2022Article
- Article
- Making decisions in the dark basement of the brain: A look back at the GPR model of action selection and the basal ganglia.Biological cybernetics · 2021Article
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Cortico-basal-ganglia-thalamic (CBGT) networks are critical for adaptive decision-making, yet how changes to circuit-level properties impact cognitive algorithms remains unclear. Here we explore how dopaminergic plasticity at corticostriatal synapses alters competition between striatal pathways, impacting the evidence accumulation process during decision-making. Spike-timing dependent plasticity simulations showed that dopaminergic feedback based on rewards modified the ratio of direct and indirect corticostriatal weights within opposing action channels. Using the learned weight ratios in a full spiking CBGT network model, we simulated neural dynamics and decision outcomes in a reward-driven decision task and fit them with a drift diffusion model. Fits revealed that the rate of evidence accumulation varied with inter-channel differences in direct pathway activity while boundary height varied with overall indirect pathway activity. This multi-level modeling approach demonstrates how complementary learning and decision computations can emerge from corticostriatal plasticity.
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