# Neuropixels reveal laminar microcircuit organization in monkey V1 in vivo

**Authors:** Nicole Carr, Shude Zhu, Xiaomo Chen, Eric Kenji Lee, Alec Perliss, Tirin Moore, Chandramouli Chandrasekaran

PMC · DOI: 10.1073/pnas.2521556123 · Proceedings of the National Academy of Sciences of the United States of America · 2026-02-18

## TL;DR

This study uses high-density brain recordings and machine learning to uncover how different types of neurons in the monkey visual cortex are organized and function together.

## Contribution

The study reveals four new aspects of laminar microcircuit organization in monkey V1 using high-resolution electrophysiology.

## Key findings

- Narrow-spiking neurons are most concentrated in layer 4 and outnumber parvalbumin-positive neurons.
- A large-amplitude NS cell class in layer 4b is strongly direction selective and may project to MT.
- Cross-correlation analysis shows distinct feedforward interactions between layers in V1.

## Abstract

This study employs an innovative approach that combines high-density electrophysiology and machine learning to link in vivo structure with visual function in the monkey primary visual cortex. It is a demonstration of how high-resolution electrophysiology can reveal relationships between the structural organization and in vivo function of neurons and also provides key insights for biologically realistic microcircuit models of the primate visual cortex.

The relationship between different cell populations in monkey primary visual cortex and their role in visual function is not fully resolved. We combined high-density Neuropixels recordings across layers of macaque V1, and a state-of-the-art nonlinear dimensionality reduction approach on waveform shape to delineate nine putative cell classes: 4 narrow-spiking (NS), 4 broad-spiking (BS), and 1 triphasic (TP). Then, we performed targeted analyses of laminar organization, spike amplitude, multichannel spatial features, functional properties, and network connectivity of these cell classes. These analyses have uncovered four fundamental aspects of V1 laminar microcircuitry never fully demonstrated before in vivo. First, NS neurons were most concentrated in layer 4 and outnumbered parvalbumin positive neurons, consistent with findings on potassium channel expression in excitatory neurons in V1. Second, a large-amplitude NS cell class in layer 4b was strongly direction selective, with multichannel waveforms suggestive of a stellate morphology, a likely functional correlate of anatomical descriptions of neurons projecting from V1 to MT. Third, another NS cell class in layer 4b showed robust bursting activity and strong orientation selectivity. Finally, cross-correlation analysis revealed distinct feedforward interactions between cell classes in layer 4 and layer 5/6 and those in layer 2/3. These results demonstrate how high-resolution electrophysiology can reveal links between laminar organization and in vivo function of neurons. Our findings offer key insights for biologically realistic microcircuit models of primate V1 and may generalize to other regions.

## Linked entities

- **Proteins:** ocm4.5.S (oncomodulin 4 gene 5 S homeolog)

## Full-text entities

- **Genes:** Kcnc2 (potassium voltage-gated channel subfamily C member 2) [NCBI Gene 246153] {aka KShIIIA, Kv3.2}, PVALB (parvalbumin) [NCBI Gene 5816] {aka D22S749}, Kcna3 (potassium voltage-gated channel subfamily A member 3) [NCBI Gene 29731]
- **Diseases:** CSD (MESH:D001851)
- **Chemicals:** isoflurane (MESH:D007530), sodium (MESH:D012964), potassium (MESH:D011188), DiI (-), sufentanil (MESH:D017409)
- **Species:** Mus musculus (house mouse, species) [taxon 10090], Macaca (macaque, genus) [taxon 9539], Lyssavirus rabies (species) [taxon 11292], Felis catus (cat, species) [taxon 9685], Rattus norvegicus (brown rat, species) [taxon 10116], Macaca mulatta (rhesus macaque, species) [taxon 9544], Cercopithecidae (monkey, family) [taxon 9527]
- **Cell lines:** L5/6 — Rattus norvegicus (Rat), Transformed cell line (CVCL_UI09)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12933057/full.md

## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12933057/full.md

## References

83 references — full list in the complete paper: https://tomesphere.com/paper/PMC12933057/full.md

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Source: https://tomesphere.com/paper/PMC12933057