Evidence map›Paper›PMID 39167488›Full record

ArticleCell reports2024

Heterogeneous orientation tuning in the primary visual cortex of mice diverges from Gabor-like receptive fields in primates.

Jiakun Fu, Paweł A Pierzchlewicz, Konstantin F Willeke, Mohammad Bashiri, Taliah Muhammad, Maria Diamantaki, Emmanouil Froudarakis, Kelli Restivo, Kayla Ponder, George H Denfield and 3 more

Abstract read
In one paragraph

Article in Cell reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Jiakun FuDepartment of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX 77030, USA.
Paweł A PierzchlewiczInstitute for Bioinformatics and Medical Informatics, Tübingen University, Tübingen, Germany; Georg-August University Göttingen, Göttingen, Germany.
Konstantin F WillekeInstitute for Bioinformatics and Medical Informatics, Tübingen University, Tübingen, Germany; Georg-August University Göttingen, Göttingen, Germany.
Mohammad BashiriInstitute for Bioinformatics and Medical Informatics, Tübingen University, Tübingen, Germany; Georg-August University Göttingen, Göttingen, Germany.
Taliah MuhammadDepartment of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX 77030, USA.
Maria DiamantakiInstitute of Molecular Biology & Biotechnology, Foundation of Research & Technology - Hellas, Heraklion, Crete, Greece; School of Medicine, University of Crete, Heraklion, Crete, Greece.
Emmanouil FroudarakisInstitute of Molecular Biology & Biotechnology, Foundation of Research & Technology - Hellas, Heraklion, Crete, Greece; School of Medicine, University of Crete, Heraklion, Crete, Greece.
Kelli RestivoDepartment of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX 77030, USA.
Kayla PonderDepartment of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX 77030, USA.
George H DenfieldDepartment of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX 77030, USA.
Fabian SinzDepartment of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX 77030, USA; Institute for Bioinformatics and Medical Informatics, Tübingen University, Tübingen, Germany; Georg-August University Göttingen, Göttingen, Germany.
Andreas S ToliasDepartment of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX 77030, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA 94303, USA; Stanford Bio-X, Stanford University, Stanford, CA 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA; Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA. Electronic address: tolias@stanford.edu.
Katrin FrankeDepartment of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX 77030, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA 94303, USA; Stanford Bio-X, Stanford University, Stanford, CA 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA. Electronic address: kafranke@stanford.edu.

Funding

VISION RESEARCH CENTERP30EY002520 · NEI · BAYLOR COLLEGE OF MEDICINE · PI Samuel M Wu · 1985 to 2026
$14.8M
Computational foundations of active visual sensingUF1NS126566 · NINDS · STANFORD UNIVERSITY · PI MATHIS, MACKENZIE WEYGANDT, NIELL, CRISTOPHER M · 2022 to 2022
$4.8M
Probabilistic coding in cortical populationsR01EY026927 · NEI · BAYLOR COLLEGE OF MEDICINE · PI MA, WEI JI, TOLIAS, ANDREAS · 2017 to 2021
$1.9M
NEI NIH HHS P30 EY002520NEI NIH HHS R01 EY026927NINDS NIH HHS UF1 NS126566
6 · The paper itself

Abstract

A key feature of neurons in the primary visual cortex (V1) of primates is their orientation selectivity. Recent studies using deep neural network models showed that the most exciting input (MEI) for mouse V1 neurons exhibit complex spatial structures that predict non-uniform orientation selectivity across the receptive field (RF), in contrast to the classical Gabor filter model. Using local patches of drifting gratings, we identified heterogeneous orientation tuning in mouse V1 that varied up to 90° across sub-regions of the RF. This heterogeneity correlated with deviations from optimal Gabor filters and was consistent across cortical layers and recording modalities (calcium vs. spikes). In contrast, model-synthesized MEIs for macaque V1 neurons were predominantly Gabor like, consistent with previous studies. These findings suggest that complex spatial feature selectivity emerges earlier in the visual pathway in mice than in primates. This may provide a faster, though less general, method of extracting task-relevant information.

Indexed as

Primary Visual CortexAnimalsMaleMiceMice, Inbred C57BLNeuronsOrientationPhotic StimulationPrimatesVisual CortexVisual FieldsVisual PathwaysCP: Neurosciencemacaquemousereceptive fieldvisual cortex

Identifiers

PMID39167488
PMCPMC11463840

What OpenQuestion holds

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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.