Evidence map›Paper›PMID 34932942›Full record

ArticleNeuron2022

Individual variability of neural computations in the primate retina.

Nishal P Shah, Nora Brackbill, Ryan Samarakoon, Colleen Rhoades, Alexandra Kling, Alexander Sher, Alan Litke, Yoram Singer, Jonathon Shlens, E J Chichilnisky

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuron, 2022. 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
0.9field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

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

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Nishal P ShahDepartment of Electrical Engineering, Stanford University, Stanford, CA 94305, USA; Hansen Experimental Physics Lab, Stanford University, Stanford, CA 94305, USA; Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA. Electronic address: bhaishahster@gmail.com.
Nora BrackbillHansen Experimental Physics Lab, Stanford University, Stanford, CA 94305, USA; Department of Physics, Stanford University, Stanford, CA 94305, USA.
Ryan SamarakoonHansen Experimental Physics Lab, Stanford University, Stanford, CA 94305, USA; Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA.
Colleen RhoadesHansen Experimental Physics Lab, Stanford University, Stanford, CA 94305, USA; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Alexandra KlingHansen Experimental Physics Lab, Stanford University, Stanford, CA 94305, USA; Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA.
Alexander SherUniversity of California, Santa Cruz, Santa Cruz, CA 95064, USA.
Alan LitkeUniversity of California, Santa Cruz, Santa Cruz, CA 95064, USA.
Yoram SingerWorldQuant, LLC, 1700 E Putnam Ave., Old Greenwich, CT 06870, USA.
Jonathon ShlensGoogle Brain, 1600 Amphitheatre Pkwy., Mountain View, CA 94043, USA.
E J ChichilniskyHansen Experimental Physics Lab, Stanford University, Stanford, CA 94305, USA; Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA.
Stanford University · USUniversity of California, Santa Cruz · USGoogle (United States) · USGreenwich Hospital · US

Funding

Stanford Vision Research CoreP30EY026877 · NEI · STANFORD UNIVERSITY · PI Jeffrey L Goldberg · 2017 to 2026
$8.0M
Core Grant for Vision ResearchP30EY019005 · NEI · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI ALBRIGHT, THOMAS D · 2009 to 2018
$7.7M
Unique physiological properties of novel ganglion cell types in primate retinaR01EY029247 · NEI · STANFORD UNIVERSITY · PI EDUARDO CHICHILNISKY, Michael B Manookin · 2018 to 2026
$4.7M
Patterned Electrical Stimulation of the Retina for High-Resolution ProsthesesR01EY021271 · NEI · STANFORD UNIVERSITY · PI EDUARDO CHICHILNISKY · 2011 to 2026
$4.6M
Characterizing Low-Density Ganglion Cells in the Primate RetinaF31EY027166 · NEI · STANFORD UNIVERSITY · PI RHOADES, COLLEEN · 2016 to 2019
$96k
NEI NIH HHS F31 EY027166NEI NIH HHS P30 EY019005NEI NIH HHS P30 EY026877NEI NIH HHS R01 EY021271NEI NIH HHS R01 EY029247
6 · The paper itself

Abstract

Variation in the neural code contributes to making each individual unique. We probed neural code variation using ∼100 population recordings from major ganglion cell types in the macaque retina, combined with an interpretable computational representation of individual variability. This representation captured variation and covariation in properties such as nonlinearity, temporal dynamics, and spatial receptive field size and preserved invariances such as asymmetries between On and Off cells. The covariation of response properties in different cell types was associated with the proximity of lamination of their synaptic input. Surprisingly, male retinas exhibited higher firing rates and faster temporal integration than female retinas. Exploiting data from previously recorded retinas enabled efficient characterization of a new macaque retina, and of a human retina. Simulations indicated that combining a large dataset of retinal recordings with behavioral feedback could reveal the neural code in a living human and thus improve vision restoration with retinal implants.

Indexed as

RetinaRetinal Ganglion CellsAnimalsFemaleMacacaMalePhotic StimulationVision, Ocularartificial intelligenceartificial retinaencoding modelsindividual variabilitymachine learningneural prosthesisresponse modelingretinasensory encodingvision

Identifiers

PMID34932942
PMCPMC8857061
OpenAlexW4225579704

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.