Evidence map›Paper›PMID 38250515›Full record

ArticlePNAS nexus2024

Sensory input to cortex encoded on low-dimensional periphery-correlated subspaces.

Andrea K Barreiro, Antonio J Fontenele, Cheng Ly, Prashant C Raju, Shree Hari Gautam, Woodrow L Shew

Abstract read
In one paragraph

Article in PNAS nexus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

6 authors.

Andrea K BarreiroDepartment of Mathematics, Southern Methodist University, Dallas, TX 75275, USA.
Antonio J FonteneleDepartment of Physics, UA Integrative Systems Neuroscience, University of Arkansas, Fayetteville, AR 72701, USA.ORCID https://orcid.org/0000-0003-2969-9997
Cheng LyDepartment of Statistical Sciences and Operations Research, Virginia Commonwealth University, Richmond, VA 23284, USA.ORCID https://orcid.org/0000-0003-3279-8240
Prashant C RajuDepartment of Physics, UA Integrative Systems Neuroscience, University of Arkansas, Fayetteville, AR 72701, USA.ORCID https://orcid.org/0000-0003-3778-4788
Shree Hari GautamDepartment of Physics, UA Integrative Systems Neuroscience, University of Arkansas, Fayetteville, AR 72701, USA.ORCID https://orcid.org/0000-0002-3879-8105
Woodrow L ShewDepartment of Physics, UA Integrative Systems Neuroscience, University of Arkansas, Fayetteville, AR 72701, USA.ORCID https://orcid.org/0000-0003-0679-1766

Funding

Cortical noise hypothesis: inhibitory mechanisms of motor population coding and dysfunction"R15NS116742 · NINDS · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI SHEW, WOODROW L. · 2020 to 2020
$360k
NINDS NIH HHS R15 NS116742
6 · The paper itself

Abstract

As information about the world is conveyed from the sensory periphery to central neural circuits, it mixes with complex ongoing cortical activity. How do neural populations keep track of sensory signals, separating them from noisy ongoing activity? Here, we show that sensory signals are encoded more reliably in certain low-dimensional subspaces. These coding subspaces are defined by correlations between neural activity in the primary sensory cortex and upstream sensory brain regions; the most correlated dimensions were best for decoding. We analytically show that these correlation-based coding subspaces improve, reaching optimal limits (without an ideal observer), as noise correlations between cortex and upstream regions are reduced. We show that this principle generalizes across diverse sensory stimuli in the olfactory system and the visual system of awake mice. Our results demonstrate an algorithm the cortex may use to multiplex different functions, processing sensory input in low-dimensional subspaces separate from other ongoing functions.

Identifiers

PMID38250515
PMCPMC10798852

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.