ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2010
Sequentially switching cell assemblies in random inhibitory networks of spiking neurons in the striatum.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.
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68 citing papers in PubMed, 113 citations in OpenAlex.
- Neurons embedded in loop-like motifs act as central hubs for brain-wide integration.The Journal of physiology · 2026Article
- Circuit dynamics of superficial and deep CA1 pyramidal cells and inhibitory cells in freely moving macaques.Cell reports · 2024Article
- Circuit dynamics of superficial and deep CA1 pyramidal cells and inhibitory cells in freely-moving macaques.bioRxiv : the preprint server for biology · 2024Article
- Pathological cell assembly dynamics in a striatal MSN network model.Frontiers in computational neuroscience · 2024Article
- The roles of surround inhibition for the intrinsic function of the striatum, analyzed in silico.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Article
- Choice-selective sequences dominate in cortical relative to thalamic inputs to NAc to support reinforcement learning.Cell reports · 2022Article
- Bayesian Mapping of the Striatal Microcircuit Reveals Robust Asymmetries in the Probabilities and Distances of Connections.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Sensory-thresholded switch of neural firing states in a computational model of the ventromedial hypothalamus.Frontiers in computational neuroscience · 2022Article
- Patterns of synchronization in 2D networks of inhibitory neurons.Frontiers in computational neuroscience · 2022Article
- Ramping activity in the striatum.Frontiers in computational neuroscience · 2022Article
- Beta synchrony for expressive language lateralizes to right hemisphere in development.Scientific reports · 2021Article
- Striatal network modeling in Huntington's Disease.PLoS computational biology · 2020Article
- Uncoupling the roles of firing rates and spike bursts in shaping the STN-GPe beta band oscillations.PLoS computational biology · 2020Article
- Dynamic postnatal development of the cellular and circuit properties of striatal D1 and D2 spiny projection neurons.The Journal of physiology · 2019Article
- Sensory representations in the striatum provide a temporal reference for learning and executing motor habits.Nature communications · 2019Article
- Bifurcation analysis of the dynamics of interacting subnetworks of a spiking network.Scientific reports · 2019Article
- Decoupling of timescales reveals sparse convergent CPG network in the adult spinal cord.Nature communications · 2019Article
- Exploring the role of striatal D1 and D2 medium spiny neurons in action selection using a virtual robotic framework.The European journal of neuroscience · 2019Article
- Feedforward architectures driven by inhibitory interactions.Journal of computational neuroscience · 2018Article
8 more citing papers are in PubMed but not listed here.
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The striatum is composed of GABAergic medium spiny neurons with inhibitory collaterals forming a sparse random asymmetric network and receiving an excitatory glutamatergic cortical projection. Because the inhibitory collaterals are sparse and weak, their role in striatal network dynamics is puzzling. However, here we show by simulation of a striatal inhibitory network model composed of spiking neurons that cells form assemblies that fire in sequential coherent episodes and display complex identity-temporal spiking patterns even when cortical excitation is simply constant or fluctuating noisily. Strongly correlated large-scale firing rate fluctuations on slow behaviorally relevant timescales of hundreds of milliseconds are shown by members of the same assembly whereas members of different assemblies show strong negative correlation, and we show how randomly connected spiking networks can generate this activity. Cells display highly irregular spiking with high coefficients of variation, broadly distributed low firing rates, and interspike interval distributions that are consistent with exponentially tailed power laws. Although firing rates vary coherently on slow timescales, precise spiking synchronization is absent in general. Our model only requires the minimal but striatally realistic assumptions of sparse to intermediate random connectivity, weak inhibitory synapses, and sufficient cortical excitation so that some cells are depolarized above the firing threshold during up states. Our results are in good qualitative agreement with experimental studies, consistent with recently determined striatal anatomy and physiology, and support a new view of endogenously generated metastable state switching dynamics of the striatal network underlying its information processing operations.
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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.