ArticleProceedings of the National Academy of Sciences of the United States of America2020
The microcircuits of striatum in silico.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.
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Who cites it
56 citing papers in PubMed.
- Comparative Proteomic Analysis of the Striatum in Heterozygous and Null DAT Knockout Rats.International journal of molecular sciences · 2026Article
- Morphoelectric Diversity and Specialization of Neuronal Cell Types in the Primate Striatum.bioRxiv : the preprint server for biology · 2026Article
- Regional heterogeneity of striatal cholinergic interneurons: setting the stage for diverse behavioral repertoires.Frontiers in cellular neuroscience · 2026Review
- Container-based framework for large-scale spiking network simulation.Frontiers in neuroscience · 2026Article
- 20 Hz tACS engages striatal THINs to enhance β-band synchrony and motor drive.Frontiers in neuroscience · 2026Article
- Synaptic integration and competition in the substantia nigra pars reticulata-An experimental and in silico analysis.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Article
- Mouse and human striatal projection neurons compared - somatodendritic arbor, spines and in silico analyses.PLoS computational biology · 2025Article
- Cellular and synaptic properties of molecularly defined neurons in the external globus pallidus.iScience · 2025Article
- Striatal pathways oppositely shift cortical activity along the decision axis.bioRxiv : the preprint server for biology · 2025Article
- Pallidal Deep Brain Stimulation Enhances Habitual Behavior in a Neuro-Computational Basal Ganglia Model During a Reward Reversal Learning Task.The European journal of neuroscience · 2025Article
- Computational model for control of hand movement in Parkinson's disease using deep brain stimulation.Experimental brain research · 2025Article
- An integrative data-driven model simulating C. elegans brain, body and environment interactions.Nature computational science · 2024Article
- Large-Scale Mechanistic Models of Brain Circuits with Biophysically and Morphologically Detailed Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Review
- Modeling the impact of neuromorphological alterations in Down syndrome on fast neural oscillations.PLoS computational biology · 2024Article
- Article
- Synaptic and dendritic architecture of different types of hippocampal somatostatin interneurons.PLoS biology · 2024Article
- The Basal Ganglia Downstream Control of Action - An Evolutionarily Conserved Strategy.Current neuropharmacology · 2024Review
- Cell-Type Specific Connectivity of Whisker-Related Sensory and Motor Cortical Input to Dorsal Striatum.eNeuro · 2024Article
- The impact of Parkinson's disease on striatal network connectivity and corticostriatal drive: An in silico study.Network neuroscience (Cambridge, Mass.) · 2024Article
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Authors and funding
12 authors.
Funding
Abstract
The basal ganglia play an important role in decision making and selection of action primarily based on input from cortex, thalamus, and the dopamine system. Their main input structure, striatum, is central to this process. It consists of two types of projection neurons, together representing 95% of the neurons, and 5% of interneurons, among which are the cholinergic, fast-spiking, and low threshold-spiking subtypes. The membrane properties, soma-dendritic shape, and intrastriatal and extrastriatal synaptic interactions of these neurons are quite well described in the mouse, and therefore they can be simulated in sufficient detail to capture their intrinsic properties, as well as the connectivity. We focus on simulation at the striatal cellular/microcircuit level, in which the molecular/subcellular and systems levels meet. We present a nearly full-scale model of the mouse striatum using available data on synaptic connectivity, cellular morphology, and electrophysiological properties to create a microcircuit mimicking the real network. A striatal volume is populated with reconstructed neuronal morphologies with appropriate cell densities, and then we connect neurons together based on appositions between neurites as possible synapses and constrain them further with available connectivity data. Moreover, we simulate a subset of the striatum involving 10,000 neurons, with input from cortex, thalamus, and the dopamine system, as a proof of principle. Simulation at this biological scale should serve as an invaluable tool to understand the mode of operation of this complex structure. This platform will be updated with new data and expanded to simulate the entire striatum.
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