ArticleNeuron2019
Circuit Models of Low-Dimensional Shared Variability in Cortical Networks.
Article in Neuron, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers.
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Who cites it
95 citing papers in PubMed.
- Strong and localized recurrence controls the dimensionality of neural activity across brain areas.Nature neuroscience · 2026Article
- Feature interference underlies a neuronal basis for the behavioral cost of task uncertainty.Nature neuroscience · 2026Article
- On variability in local field potentials.Communications biology · 2026Article
- Input-dependent directionality of interactions between cortical areas.bioRxiv : the preprint server for biology · 2026Article
- Interactions across hemispheres in prefrontal cortex reflect global cognitive processing.Nature communications · 2026Article
- A Spatially Structured Spiking Network Model of Beta Traveling Waves and Their Attenuation in Motor Cortex.bioRxiv : the preprint server for biology · 2026Article
- Size tuning of neural response variability in laminar circuits of macaque primary visual cortex.eLife · 2026Article
- Visual experience drives functional reorganization of cortical GABAergic circuits.bioRxiv : the preprint server for biology · 2026Article
- A Population Coupling Model Identifies Reduced Propagation from V1 to Higher Visual Areas During Locomotion.bioRxiv : the preprint server for biology · 2026Article
- Voltage imaging as a window into neural computation.Neurophotonics · 2026Article
- Neuronal heterogeneity of normalization strength in a circuit model.Science advances · 2026Article
- Interleaving asynchronous and synchronous activity in balanced cortical networks with short term synaptic depression.Nature communications · 2025Article
- A doubly stochastic renewal framework for partitioning spiking variability.Nature communications · 2025Article
- Spontaneous movements and their relationship to neural activity fluctuate with latent engagement states.Neuron · 2025Article
- Article
- Global and local origins of trial-to-trial spike count variability in visual cortex.bioRxiv : the preprint server for biology · 2025Article
- Stochastic activity in low-rank recurrent neural networks.PLoS computational biology · 2025Article
- State modulation in spatial networks with three interneuron subtypes.Science advances · 2025Article
- Interactions across hemispheres in prefrontal cortex reflect global cognitive processing.bioRxiv : the preprint server for biology · 2025Article
- Circuit-Based Understanding of Fine Spatial Scale Clustering of Orientation Tuning in Mouse Visual Cortex.bioRxiv : the preprint server for biology · 2025Article
35 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Trial-to-trial variability is a reflection of the circuitry and cellular physiology that make up a neuronal network. A pervasive yet puzzling feature of cortical circuits is that despite their complex wiring, population-wide shared spiking variability is low dimensional. Previous model cortical networks cannot explain this global variability, and rather assume it is from external sources. We show that if the spatial and temporal scales of inhibitory coupling match known physiology, networks of model spiking neurons internally generate low-dimensional shared variability that captures population activity recorded in vivo. Shifting spatial attention into the receptive field of visual neurons has been shown to differentially modulate shared variability within and between brain areas. A top-down modulation of inhibitory neurons in our network provides a parsimonious mechanism for this attentional modulation. Our work provides a critical link between observed cortical circuit structure and realistic shared neuronal variability and its modulation.
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Registered trials
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.