ArticleScience advances2022
Internally generated population activity in cortical networks hinders information transmission.
Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Neuronal heterogeneity of normalization strength in a circuit model.Science advances · 2026Article
- Measuring Stimulus Information Transfer Between Neural Populations Through the Communication Subspace.Neural computation · 2025Article
- The cortical critical power law balances energy and information in an optimal fashion.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Circuit-Based Understanding of Fine Spatial Scale Clustering of Orientation Tuning in Mouse Visual Cortex.bioRxiv : the preprint server for biology · 2025Article
- Measuring Stimulus Information Transfer Between Neural Populations through the Communication Subspace.bioRxiv : the preprint server for biology · 2024Article
- Between-area communication through the lens of within-area neuronal dynamics.Science advances · 2024Article
- An unbiased method to partition diverse neuronal responses into functional ensembles reveals interpretable population dynamics during innate social behavior.bioRxiv : the preprint server for biology · 2024Article
- Distributed and dynamical communication: a mechanism for flexible cortico-cortical interactions and its functional roles in visual attention.Communications biology · 2024Article
- Sampling-based Bayesian inference in recurrent circuits of stochastic spiking neurons.Nature communications · 2023Article
- Propagation of activity through the cortical hierarchy and perception are determined by neural variability.Nature neuroscience · 2023Article
- Article
- A general decoding strategy explains the relationship between behavior and correlated variability.eLife · 2022Article
- Cortical state dynamics and selective attention define the spatial pattern of correlated variability in neocortex.Nature communications · 2022Article
- Distinct Excitatory and Inhibitory Bump Wandering in a Stochastic Neural Field.SIAM journal on applied dynamical systems · 2022Article
- Modulation of the dynamical state in cortical network models.Current opinion in neurobiology · 2021Review
- Low rank mechanisms underlying flexible visual representations.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
How neuronal variability affects sensory coding is a central question in systems neuroscience, often with complex and model-dependent answers. Many studies explore population models with a parametric structure for response tuning and variability, preventing an analysis of how synaptic circuitry establishes neural codes. We study stimulus coding in networks of spiking neuron models with spatially ordered excitatory and inhibitory connectivity. The wiring structure is capable of producing rich population-wide shared neuronal variability that agrees with many features of recorded cortical activity. While both the spatial scales of feedforward and recurrent projections strongly affect noise correlations, only recurrent projections, and in particular inhibitory projections, can introduce correlations that limit the stimulus information available to a decoder. Using a spatial neural field model, we relate the recurrent circuit conditions for information limiting noise correlations to how recurrent excitation and inhibition can form spatiotemporal patterns of population-wide activity.
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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.