Evidence map›Paper›PMID 37904996›Full record

ArticlebioRxiv : the preprint server for biology2023

High-density recording reveals sparse clusters (but not columns) for shape and texture encoding in macaque V4.

Tomoyuki Namima, Erin Kempkes, Polina Zamarashkina, Natalia Owen, Anitha Pasupathy

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 2 countries.

Tomoyuki NamimaDepartment of Biological Structure and Washington National Primate Research Center, University of Washington, Seattle, WA 98195, USA.
Erin KempkesDepartment of Biological Structure and Washington National Primate Research Center, University of Washington, Seattle, WA 98195, USA.
Polina ZamarashkinaDepartment of Biological Structure and Washington National Primate Research Center, University of Washington, Seattle, WA 98195, USA.
Natalia OwenUndergraduate Neuroscience Program, University of Washington, Seattle, WA 98195, USA.
Anitha PasupathyDepartment of Biological Structure and Washington National Primate Research Center, University of Washington, Seattle, WA 98195, USA.
University of Washington · US

Funding

Washington National Primate Research CenterP51OD010425 · OD · UNIVERSITY OF WASHINGTON · PI Mari Ostendorf · 2012 to 2026
$201.8M
Vision Research CoreP30EY001730 · NEI · UNIVERSITY OF WASHINGTON · PI JAMES Bryant HURLEY · 1985 to 2026
$23.5M
The role of area V4 in the perception and recognition of visual objectsR01EY018839 · NEI · UNIVERSITY OF WASHINGTON · PI Anitha Pasupathy · 2009 to 2026
$9.0M
Spatiotemporal representation in ventral visual pathwayR01EY029601 · NEI · UNIVERSITY OF WASHINGTON · PI PASUPATHY, ANITHA · 2021 to 2025
$2.3M
NEI NIH HHS P30 EY001730NEI NIH HHS R01 EY018839NEI NIH HHS R01 EY029601NIH HHS P51 OD010425
6 · The paper itself

Abstract

Macaque area V4 includes neurons that exhibit exquisite selectivity for visual form and surface texture, but their functional organization across laminae is unknown. We used high-density Neuropixels probes in two awake monkeys to characterize shape and texture tuning of dozens of neurons simultaneously across layers. We found sporadic clusters of neurons that exhibit similar tuning for shape and texture: ~20% exhibited similar tuning with their neighbors. Importantly, these clusters were confined to a few layers, seldom 'columnar' in structure. This was the case even when neurons were strongly driven, and exhibited robust contrast invariance for shape and texture tuning. We conclude that functional organization in area V4 is not columnar for shape and texture stimulus features and in general organization maybe at a coarse scale (e.g. encoding of 2D vs 3D shape) rather than at a fine scale in terms of similarity in tuning for specific features (as in the orientation columns in V1). We speculate that this may be a direct consequence of the great diversity of inputs integrated by V4 neurons to build variegated tuning manifolds in a high-dimensional space.

Identifiers

PMID37904996
PMCPMC10614825
OpenAlexW4387730570

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.