ArticleeLife2022
Functional interactions among neurons within single columns of macaque V1.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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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
21 citing papers in PubMed, 35 citations in OpenAlex.
- Condition-Dependent Noise Correlations without Condition-Dependent Spike Counts.bioRxiv : the preprint server for biology · 2026Article
- Low-dimensional population dynamics in the brainstem gate REM sleep.Nature neuroscience · 2026Article
- Limitations of Variational Laplace-Based Dynamic Causal Modelling for Multistable Cortical Circuits.Neuroinformatics · 2026Article
- Neuropixels reveal laminar microcircuit organization in monkey V1 in vivo.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- How distributed is the brain-wide network that is recruited for cognition?Nature reviews. Neuroscience · 2026Review
- Article
- Functional specialisation of multisensory temporal integration in the mouse superior colliculus.Nature communications · 2025Article
- Large-scale high-density brain-wide neural recording in nonhuman primates.Nature neuroscience · 2025Article
- Neuropixels reveal structure-function relationships in monkey V1bioRxiv : the preprint server for biology · 2025Article
- DREDge: robust motion correction for high-density extracellular recordings across species.Nature methods · 2025Article
- Article
- High-Resolution Laminar Identification in Macaque Primary Visual Cortex Using Neuropixels Probes.bioRxiv : the preprint server for biology · 2024Article
- A high-density 1,024-channel probe for brain-wide recordings in non-human primates.Nature neuroscience · 2024Article
- Inserting a Neuropixels probe into awake monkey cortex: two probes, two methods.Journal of neuroscience methods · 2024Article
- Comparison of orientation encoding across layers within single columns of primate V1 revealed by high-density recordings.Frontiers in neural circuits · 2024Article
- An Ultraflexible Electrode Array for Large-Scale Chronic Recording in the Nonhuman Primate Brain.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- DREDge: robust motion correction for high-density extracellular recordings across species.bioRxiv : the preprint server for biology · 2023Article
- Modified Neuropixels probes for recording human neurophysiology in the operating room.Nature protocols · 2023Review
- Inserting a Neuropixels probe into awake monkey cortex: two probes, two methods.bioRxiv : the preprint server for biology · 2023Article
- Neuroprosthetics: from sensorimotor to cognitive disorders.Communications biology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Recent developments in high-density neurophysiological tools now make it possible to record from hundreds of single neurons within local, highly interconnected neural networks. Among the many advantages of such recordings is that they dramatically increase the quantity of identifiable, functional interactions between neurons thereby providing an unprecedented view of local circuits. Using high-density, Neuropixels recordings from single neocortical columns of primary visual cortex in nonhuman primates, we identified 1000s of functionally interacting neuronal pairs using established crosscorrelation approaches. Our results reveal clear and systematic variations in the synchrony and strength of functional interactions within single cortical columns. Despite neurons residing within the same column, both measures of interactions depended heavily on the vertical distance separating neuronal pairs, as well as on the similarity of stimulus tuning. In addition, we leveraged the statistical power afforded by the large numbers of functionally interacting pairs to categorize interactions between neurons based on their crosscorrelation functions. These analyses identified distinct, putative classes of functional interactions within the full population. These classes of functional interactions were corroborated by their unique distributions across defined laminar compartments and were consistent with known properties of V1 cortical circuitry, such as the lead-lag relationship between simple and complex cells. Our results provide a clear proof-of-principle for the use of high-density neurophysiological recordings to assess circuit-level interactions within local neuronal networks.
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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.