ArticleeLife2016
Inhibitory control of correlated intrinsic variability in cortical networks.
Article in eLife, 2016. 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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
56 citing papers in PubMed.
- Alpha phase coding supports feature binding during working memory maintenance.Communications biology · 2026Article
- Laminar-specific control of response gain and orientation-tuning by parvalbumin-expressing inhibitory interneurons in primate visual cortex.Research square · 2026Article
- Noradrenaline causes a spread of association in the hippocampal cognitive map.Nature communications · 2026Article
- Size tuning of neural response variability in laminar circuits of macaque primary visual cortex.eLife · 2026Article
- Article
- Subthreshold moment analysis of neuronal populations driven by synchronous synaptic inputs.PLoS computational biology · 2025Article
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- Learning-Associated Flexibility of Cortical Taste Coding Is Impaired in Shank3 Knockout Mice.bioRxiv : the preprint server for biology · 2025Article
- Sensory Encoding Alternates With Hippocampal Ripples across Cycles of Forebrain Spiking Cascades.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Subthreshold moment analysis of neuronal populations driven by synchronous synaptic inputs.ArXiv · 2025Article
- Subthreshold variability of neuronal populations driven by synchronous synaptic inputs.bioRxiv : the preprint server for biology · 2025Article
- Touch-evoked traveling waves establish a translaminar spacetime code.Science advances · 2025Article
- Automated customization of large-scale spiking network models to neuronal population activity.Nature computational science · 2024Article
- Pathological cell assembly dynamics in a striatal MSN network model.Frontiers in computational neuroscience · 2024Article
- Rapid compensatory plasticity revealed by dynamic correlated activity in monkeys in vivo.Nature neuroscience · 2023Article
- VIP interneurons regulate cortical size tuning and visual perception.Cell reports · 2023Article
- Interneuron-Targeted Disruption ofThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- VIP interneurons regulate cortical size tuning and visual perception.bioRxiv : the preprint server for biology · 2023Article
- A deep generative adversarial network capturing complex spiral waves in disinhibited circuits of the cerebral cortex.BMC neuroscience · 2023Article
- [Auditory response patterns of mouse primary auditory cortex to sound stimuli].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Cortical networks exhibit intrinsic dynamics that drive coordinated, large-scale fluctuations across neuronal populations and create noise correlations that impact sensory coding. To investigate the network-level mechanisms that underlie these dynamics, we developed novel computational techniques to fit a deterministic spiking network model directly to multi-neuron recordings from different rodent species, sensory modalities, and behavioral states. The model generated correlated variability without external noise and accurately reproduced the diverse activity patterns in our recordings. Analysis of the model parameters suggested that differences in noise correlations across recordings were due primarily to differences in the strength of feedback inhibition. Further analysis of our recordings confirmed that putative inhibitory neurons were indeed more active during desynchronized cortical states with weak noise correlations. Our results demonstrate that network models with intrinsically-generated variability can accurately reproduce the activity patterns observed in multi-neuron recordings and suggest that inhibition modulates the interactions between intrinsic dynamics and sensory inputs to control the strength of noise correlations.
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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.