Evidence map›Paper›PMID 35064086›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Synchronous inhibitory pathways create both efficiency and diversity in the retina.

Mihai Manu, Lane T McIntosh, David B Kastner, Benjamin N Naecker, Stephen A Baccus

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. 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
0.5field-weighted citation impact, top 42% of its field
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, 7 citations in OpenAlex.

  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

5 authors at 1 institution in 1 country.

Mihai ManuDepartment of Neurobiology, Stanford University, Stanford, CA 94035.ORCID 0000-0001-7776-4736
Lane T McIntoshNeuroscience Program, Stanford University School of Medicine, Stanford, CA 94035.ORCID 0000-0002-4236-1061
David B KastnerNeuroscience Program, Stanford University School of Medicine, Stanford, CA 94035.ORCID 0000-0001-9681-425X
Benjamin N NaeckerNeuroscience Program, Stanford University School of Medicine, Stanford, CA 94035.
Stephen A BaccusDepartment of Neurobiology, Stanford University, Stanford, CA 94035; baccus@stanford.edu.
Stanford University · US

Funding

Stanford Vision Research CoreP30EY026877 · NEI · STANFORD UNIVERSITY · PI Jeffrey L Goldberg · 2017 to 2026
$8.0M
Function and circuitry of adaptive inhibition in the retinaR01EY022933 · NEI · STANFORD UNIVERSITY · PI STEPHEN A BACCUS · 2013 to 2026
$4.8M
Neural coding of interneuron populations in the retinaR01EY025087 · NEI · STANFORD UNIVERSITY · PI BACCUS, STEPHEN A · 2015 to 2022
$3.1M
NEI NIH HHS P30 EY026877NEI NIH HHS R01 EY022933NEI NIH HHS R01 EY025087
6 · The paper itself

Abstract

Sensory receptive fields combine features that originate in different neural pathways. Retinal ganglion cell receptive fields compute intensity changes across space and time using a peripheral region known as the surround, a property that improves information transmission about natural scenes. The visual features that construct this fundamental property have not been quantitatively assigned to specific interneurons. Here, we describe a generalizable approach using simultaneous intracellular and multielectrode recording to directly measure and manipulate the sensory feature conveyed by a neural pathway to a downstream neuron. By directly controlling the gain of individual interneurons in the circuit, we show that rather than transmitting different temporal features, inhibitory horizontal cells and linear amacrine cells synchronously create the linear surround at different spatial scales and that these two components fully account for the surround. By analyzing a large population of ganglion cells, we observe substantial diversity in the relative contribution of amacrine and horizontal cell visual features while still allowing individual cells to increase information transmission under the statistics of natural scenes. Established theories of efficient coding have shown that optimal information transmission under natural scenes allows a diverse set of receptive fields. Our results give a mechanism for this theory, showing how distinct neural pathways synthesize a sensory computation and how this architecture both generates computational diversity and achieves the objective of high information transmission.

Indexed as

Models, BiologicalVisual PathwaysAlgorithmsAmacrine CellsInterneuronsRetinaRetinal Ganglion CellsRetinal Horizontal CellsSynaptic Transmissioncomputational modelefficient codingneural circuitperturbationreceptive field

Identifiers

PMID35064086
PMCPMC8795495
OpenAlexW4220827131

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.