Evidence map›Paper›PMID 31844315›Full record

ArticleNature neuroscience2020

A large-scale standardized physiological survey reveals functional organization of the mouse visual cortex.

Saskia E J de Vries, Jerome A Lecoq, Michael A Buice, Peter A Groblewski, Gabriel K Ocker, Michael Oliver, David Feng, Nicholas Cain, Peter Ledochowitsch, Daniel Millman and 62 more

Abstract read
In one paragraph

Article in Nature neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 196 papers.

0numbers the graph read from it
0cells of the map it votes in
196citing 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

196 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. CA1 Engram Cell Dynamics Before and After Learning.bioRxiv : the preprint server for biology · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

136 more citing papers are in PubMed but not listed here.

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

72 authors.

Saskia E J de Vries *Allen Institute for Brain Science, Seattle, WA, USA. saskiad@alleninstitute.org.ORCID http://orcid.org/0000-0002-3704-3499
Jerome A Lecoq *Allen Institute for Brain Science, Seattle, WA, USA. jeromel@alleninstitute.org.ORCID http://orcid.org/0000-0002-0131-0938
Michael A Buice *Allen Institute for Brain Science, Seattle, WA, USA. michaelbu@alleninstitute.org.ORCID http://orcid.org/0000-0002-2196-1498
Peter A GroblewskiAllen Institute for Brain Science, Seattle, WA, USA.
Gabriel K OckerAllen Institute for Brain Science, Seattle, WA, USA.
Michael OliverAllen Institute for Brain Science, Seattle, WA, USA.
David FengAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-4920-8123
Nicholas CainAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-5848-199X
Peter LedochowitschAllen Institute for Brain Science, Seattle, WA, USA.
Daniel MillmanAllen Institute for Brain Science, Seattle, WA, USA.
Kate RollAllen Institute for Brain Science, Seattle, WA, USA.
Marina GarrettAllen Institute for Brain Science, Seattle, WA, USA.
Tom KeenanAllen Institute for Brain Science, Seattle, WA, USA.
Leonard KuanAllen Institute for Brain Science, Seattle, WA, USA.
Stefan MihalasAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-2629-7100
Shawn OlsenAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-9568-7057
Carol ThompsonAllen Institute for Brain Science, Seattle, WA, USA.
Wayne WakemanAllen Institute for Brain Science, Seattle, WA, USA.
Jack WatersAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-2312-4183
Derric WilliamsAllen Institute for Brain Science, Seattle, WA, USA.
Chris BarberAllen Institute for Brain Science, Seattle, WA, USA.
Nathan BerbesqueAllen Institute for Brain Science, Seattle, WA, USA.
Brandon BlanchardAllen Institute for Brain Science, Seattle, WA, USA.
Nicholas BowlesAllen Institute for Brain Science, Seattle, WA, USA.
Shiella D CaldejonAllen Institute for Brain Science, Seattle, WA, USA.
Linzy CasalAllen Institute for Brain Science, Seattle, WA, USA.
Andrew ChoAllen Institute for Brain Science, Seattle, WA, USA.
Sissy CrossAllen Institute for Brain Science, Seattle, WA, USA.
Chinh DangAllen Institute for Brain Science, Seattle, WA, USA.
Tim DolbeareAllen Institute for Brain Science, Seattle, WA, USA.
Melise EdwardsAllen Institute for Brain Science, Seattle, WA, USA.
John GalbraithAllen Institute for Brain Science, Seattle, WA, USA.
Nathalie GaudreaultAllen Institute for Brain Science, Seattle, WA, USA.
Terri L GilbertAllen Institute for Brain Science, Seattle, WA, USA.
Fiona GriffinAllen Institute for Brain Science, Seattle, WA, USA.
Perry HargraveAllen Institute for Brain Science, Seattle, WA, USA.
Robert HowardAllen Institute for Brain Science, Seattle, WA, USA.
Lawrence HuangAllen Institute for Brain Science, Seattle, WA, USA.
Sean JewellDepartment of Statistics, University of Washington, Seattle, WA, USA.
Nika KellerAllen Institute for Brain Science, Seattle, WA, USA.
Ulf KnoblichAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-0756-5587
Josh D LarkinAllen Institute for Brain Science, Seattle, WA, USA.
Rachael LarsenAllen Institute for Brain Science, Seattle, WA, USA.
Chris LauAllen Institute for Brain Science, Seattle, WA, USA.
Eric LeeAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-7166-0909
Felix LeeAllen Institute for Brain Science, Seattle, WA, USA.
Arielle LeonAllen Institute for Brain Science, Seattle, WA, USA.
Lu LiAllen Institute for Brain Science, Seattle, WA, USA.
Fuhui LongAllen Institute for Brain Science, Seattle, WA, USA.
Jennifer LuvianoAllen Institute for Brain Science, Seattle, WA, USA.
Kyla MaceAllen Institute for Brain Science, Seattle, WA, USA.
Thuyanh NguyenAllen Institute for Brain Science, Seattle, WA, USA.
Jed PerkinsAllen Institute for Brain Science, Seattle, WA, USA.
Miranda RobertsonAllen Institute for Brain Science, Seattle, WA, USA.
Sam SeidAllen Institute for Brain Science, Seattle, WA, USA.
Eric Shea-BrownAllen Institute for Brain Science, Seattle, WA, USA.
Jianghong ShiDepartment of Applied Mathematics, University of Washington, Seattle, WA, USA.
Nathan SjoquistAllen Institute for Brain Science, Seattle, WA, USA.
Cliff SlaughterbeckAllen Institute for Brain Science, Seattle, WA, USA.
David SullivanAllen Institute for Brain Science, Seattle, WA, USA.
Ryan ValenzaAllen Institute for Brain Science, Seattle, WA, USA.
Casey WhiteAllen Institute for Brain Science, Seattle, WA, USA.
Ali WillifordAllen Institute for Brain Science, Seattle, WA, USA.
Daniela M WittenDepartment of Statistics, University of Washington, Seattle, WA, USA.
Jun ZhuangAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-6237-3270
Hongkui ZengAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-0326-5878
Colin FarrellAllen Institute for Brain Science, Seattle, WA, USA.
Lydia NgAllen Institute for Brain Science, Seattle, WA, USA.
Amy BernardAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-2540-1153
John W PhillipsAllen Institute for Brain Science, Seattle, WA, USA.
R Clay ReidAllen Institute for Brain Science, Seattle, WA, USA.
Christof KochAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-6482-8067

Funding

Generation of novel cell type specific mouse genetic toolsU19MH114830 · NIMH · ALLEN INSTITUTE · PI ZENG, HONGKUI · 2017 to 2021
$64.7M
A transgenic platform to produce genetic tools for monitoring & manipulating plasR01DA028298 · NIDA · ALLEN INSTITUTE · PI ZENG, HONGKUI · 2009 to 2013
$2.2M
High-dimensional unsupervised learning, with applications to genomicsDP5OD009145 · OD · UNIVERSITY OF WASHINGTON · PI WITTEN, DANIELA · 2011 to 2015
$1.8M
Generation and characterization of novel and highly specific neruonal subtype traR01MH085500 · NIMH · ALLEN INSTITUTE · PI NAGY, ANDRAS, ZENG, HONGKUI · 2008 to 2011
$1.2M
Models and Methods for Calcium Imaging Data with Application to the Allen Brain ObservatoryR01EB026908 · NIBIB · UNIVERSITY OF WASHINGTON · PI BUICE, MICHAEL, WITTEN, DANIELA · 2018 to 2020
$1.1M
NIBIB NIH HHS R01 EB026908NIDA NIH HHS R01 DA028298NIH HHS DP5 OD009145NIMH NIH HHS U19 MH114830
6 · The paper itself

Abstract

To understand how the brain processes sensory information to guide behavior, we must know how stimulus representations are transformed throughout the visual cortex. Here we report an open, large-scale physiological survey of activity in the awake mouse visual cortex: the Allen Brain Observatory Visual Coding dataset. This publicly available dataset includes the cortical activity of nearly 60,000 neurons from six visual areas, four layers, and 12 transgenic mouse lines in a total of 243 adult mice, in response to a systematic set of visual stimuli. We classify neurons on the basis of joint reliabilities to multiple stimuli and validate this functional classification with models of visual responses. While most classes are characterized by responses to specific subsets of the stimuli, the largest class is not reliably responsive to any of the stimuli and becomes progressively larger in higher visual areas. These classes reveal a functional organization wherein putative dorsal areas show specialization for visual motion signals.

Indexed as

AnimalsDatasets as TopicMiceVisual Cortex

Identifiers

PMID31844315
PMCPMC6948932

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.