Evidence map›Paper›PMID 38452381›Full record

ArticleJournal of neural engineering2024

Explainable machine learning predictions of perceptual sensitivity for retinal prostheses.

Galen Pogoncheff, Zuying Hu, Ariel Rokem, Michael Beyeler

Open access · hybridAbstract read
In one paragraph

Article in Journal of neural engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

9 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Efficient Spatial Estimation of Perceptual Thresholds for Retinal Implants via Gaussian Process Regression.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses.Advances in neural information processing systems · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Galen PogoncheffDepartment of Computer Science, University of California, Santa Barbara, CA, United States of America.ORCID 0000-0001-6248-0992
Zuying HuDepartment of Computer Science, University of California, Santa Barbara, CA, United States of America.
Ariel RokemDepartment of Psychology, University of Washington, Seattle, WA, United States of America.ORCID 0000-0003-0679-1985
Michael BeyelerDepartment of Computer Science, University of California, Santa Barbara, CA, United States of America.ORCID 0000-0001-5233-844X
University of California, Santa Barbara · USUniversity of Washington · US

Funding

Virtual prototyping for retinal prosthesis patientsR00EY029329 · NEI · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI BEYELER, MICHAEL · 2020 to 2022
$633k
NEI NIH HHS R00 EY029329
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Visual ProsthesisArtificial IntelligenceElectric StimulationElectrodes, ImplantedHumansMachine LearningRetinaArgus IIelectrode deactivationexplainable AIperceptual thresholdsretinal prostheses

Identifiers

PMID38452381
PMCPMC11144548
OpenAlexW4392564368

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.