ArticleThe European journal of neuroscience2021
A biologically constrained spiking neural network model of the primate basal ganglia with overlapping pathways exhibits action selection.
Article in The European journal of neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 29 citations in OpenAlex.
- CBGTPy: An extensible cortico-basal ganglia-thalamic framework for modeling biological decision making.PloS one · 2025Article
- A TAN-dopamine interaction mechanism based computational model of basal ganglia in action selection.Cognitive neurodynamics · 2024Article
- CBGTPy: An extensible cortico-basal ganglia-thalamic framework for modeling biological decision making.bioRxiv : the preprint server for biology · 2024Article
- The onset of motor learning impairments in Parkinson's disease: a computational investigation.Brain informatics · 2024Article
- Harnessing the potential of human induced pluripotent stem cells, functional assays and machine learning for neurodevelopmental disorders.Frontiers in neuroscience · 2024Review
- Embodied bidirectional simulation of a spiking cortico-basal ganglia-cerebellar-thalamic brain model and a mouse musculoskeletal body model distributed across computers including the supercomputer Fugaku.Frontiers in neurorobotics · 2023Article
- Reaction-diffusion models in weighted and directed connectomes.PLoS computational biology · 2022Article
- Coarse-Grained Neural Network Model of the Basal Ganglia to Simulate Reinforcement Learning Tasks.Brain sciences · 2022Article
- A cerebellum inspired spiking neural network as a multi-model for pattern classification and robotic trajectory prediction.Frontiers in neuroscience · 2022Article
- A Spiking Neural Network Builder for Systematic Data-to-Model Workflow.Frontiers in neuroinformatics · 2022Article
- Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure.Frontiers in neuroinformatics · 2022Article
- 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
- A biologically constrained spiking neural network model of the primate basal ganglia with overlapping pathways exhibits action selection.The European journal of neuroscience · 2021Article
- Modeling nucleus accumbens : A Computational Model from Single Cell to Circuit Level.Journal of computational neuroscience · 2021Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Action selection has been hypothesized to be a key function of the basal ganglia, yet the nuclei involved, their interactions and the importance of the direct/indirect pathway segregation in such process remain debated. Here, we design a spiking computational model of the monkey basal ganglia derived from a previously published population model, initially parameterized to reproduce electrophysiological activity at rest and to embody as much quantitative anatomical data as possible. As a particular feature, both models exhibit the strong overlap between the direct and indirect pathways that has been documented in non-human primates. Here, we first show how the translation from a population to an individual neuron model was achieved, with the addition of a minimal number of parameters. We then show that our model performs action selection, even though it was built without any assumption on the activity carried out during behaviour. We investigate the mechanisms of this selection through circuit disruptions and found an instrumental role of the off-centre/on-surround structure of the MSN-STN-GPi circuit, as well as of the MSN-MSN and FSI-MSN projections. This validates their potency in enabling selection. We finally study the pervasive centromedian and parafascicular thalamic inputs that reach all basal ganglia nuclei and whose influence is therefore difficult to anticipate. Our model predicts that these inputs modulate the responsiveness of action selection, making them a candidate for the regulation of the speed-accuracy trade-off during decision-making.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.