ReviewCurrent opinion in neurobiology2017
From the statistics of connectivity to the statistics of spike times in neuronal networks.
Review in Current opinion in neurobiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
32 citing papers in PubMed.
- Strong and localized recurrence controls the dimensionality of neural activity across brain areas.Nature neuroscience · 2026Article
- Homeostatic Plasticity Enables Stable yet Tunable Neuronal Assemblies.bioRxiv : the preprint server for biology · 2026Article
- Fluctuation-response relations for a two-stage population of spiking neurons stimulated by common noise.Biological cybernetics · 2026Article
- Attractor-Based Models for Sequences and Pattern Generation in Neural Circuits.Neural computation · 2026Article
- Neuronal heterogeneity of normalization strength in a circuit model.Science advances · 2026Article
- Spiking dynamics of individual neurons reflect changes in the structure and function of neuronal networks.Nature communications · 2025Article
- Temporal resolution of spike coding in feedforward networks with signal convergence and divergence.PLoS computational biology · 2025Article
- Circuit-Based Understanding of Fine Spatial Scale Clustering of Orientation Tuning in Mouse Visual Cortex.bioRxiv : the preprint server for biology · 2025Article
- Between-area communication through the lens of within-area neuronal dynamics.Science advances · 2024Article
- The mechanics of correlated variability in segregated cortical excitatory subnetworks.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- The logic of recurrent circuits in the primary visual cortex.Nature neuroscience · 2024Article
- Article
- Investigating the ability of astrocytes to drive neural network synchrony.PLoS computational biology · 2023Article
- The mechanics of correlated variability in segregated cortical excitatory subnetworks.bioRxiv : the preprint server for biology · 2023Article
- Quasiuniversal scaling in mouse-brain neuronal activity stems from edge-of-instability critical dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Uncovering hidden network architecture from spiking activities using an exact statistical input-output relation of neurons.Communications biology · 2023Article
- Relating local connectivity and global dynamics in recurrent excitatory-inhibitory networks.PLoS computational biology · 2023Article
- Large-Scale Algorithmic Search Identifies Stiff and Sloppy Dimensions in Synaptic Architectures Consistent With Murine Neocortical Wiring.Neural computation · 2022Article
- The structures and functions of correlations in neural population codes.Nature reviews. Neuroscience · 2022Review
- Internally generated population activity in cortical networks hinders information transmission.Science advances · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
An essential step toward understanding neural circuits is linking their structure and their dynamics. In general, this relationship can be almost arbitrarily complex. Recent theoretical work has, however, begun to identify some broad principles underlying collective spiking activity in neural circuits. The first is that local features of network connectivity can be surprisingly effective in predicting global statistics of activity across a network. The second is that, for the important case of large networks with excitatory-inhibitory balance, correlated spiking persists or vanishes depending on the spatial scales of recurrent and feedforward connectivity. We close by showing how these ideas, together with plasticity rules, can help to close the loop between network structure and activity statistics.
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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.