Evidence map›Paper›PMID 38386406›Full record

ArticleeLife2024

Towards biologically plausible phosphene simulation for the differentiable optimization of visual cortical prostheses.

Maureen van der Grinten, Jaap de Ruyter van Steveninck, Antonio Lozano, Laura Pijnacker, Bodo Rueckauer, Pieter Roelfsema, Marcel van Gerven, Richard van Wezel, Umut Güçlü, Yağmur Güçlütürk

Open access · goldAbstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
7.8field-weighted citation impact, top 2% 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

18 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Neural Vision Restoration in Ophthalmology.Annals of biomedical engineering · 2026
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Evaluating Deep Human-in-the-Loop Optimization for Retinal Implants Using Sighted Participants.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses.Advances in neural information processing systems · 2023
    Article
  18. A Unifying Principle for the Functional Organization of Visual Cortex.bioRxiv : the preprint server for biology · 2023
    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

10 authors at 2 institutions in 1 country.

Maureen van der Grinten *Netherlands Institute for Neuroscience, Vrije Universiteit, Amsterdam, Netherlands.
Jaap de Ruyter van Steveninck *Donders Institute for Brain Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands.ORCID https://orcid.org/0000-0002-2711-0889
Antonio Lozano *Netherlands Institute for Neuroscience, Vrije Universiteit, Amsterdam, Netherlands.ORCID https://orcid.org/0000-0003-4508-1484
Laura PijnackerDonders Institute for Brain Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands.
Bodo RueckauerDonders Institute for Brain Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands.
Pieter RoelfsemaNetherlands Institute for Neuroscience, Vrije Universiteit, Amsterdam, Netherlands.ORCID https://orcid.org/0000-0002-1625-0034
Marcel van GervenDonders Institute for Brain Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands.ORCID https://orcid.org/0000-0002-2206-9098
Richard van WezelDonders Institute for Brain Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands.
Umut Güçlü *Donders Institute for Brain Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands.
Yağmur Güçlütürk *Donders Institute for Brain Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands.
Radboud University Nijmegen · NLNetherlands Institute for Neuroscience · NL

Funding

Horizon 2020 Framework Programme 650003HORIZON EUROPE Excellent Science 899287 'NeuraViper'Nederlandse Organisatie voor Wetenschappelijk Onderzoek 024.005.022 'DBI2'Nederlandse Organisatie voor Wetenschappelijk Onderzoek 17619 'INTENSE'Nederlandse Organisatie voor Wetenschappelijk Onderzoek 823-02-010Nederlandse Organisatie voor Wetenschappelijk Onderzoek P15-42 'NESTOR'
6 · The paper itself

Abstract

Blindness affects millions of people around the world. A promising solution to restoring a form of vision for some individuals are cortical visual prostheses, which bypass part of the impaired visual pathway by converting camera input to electrical stimulation of the visual system. The artificially induced visual percept (a pattern of localized light flashes, or 'phosphenes') has limited resolution, and a great portion of the field's research is devoted to optimizing the efficacy, efficiency, and practical usefulness of the encoding of visual information. A commonly exploited method is non-invasive functional evaluation in sighted subjects or with computational models by using simulated prosthetic vision (SPV) pipelines. An important challenge in this approach is to balance enhanced perceptual realism, biologically plausibility, and real-time performance in the simulation of cortical prosthetic vision. We present a biologically plausible, PyTorch-based phosphene simulator that can run in real-time and uses differentiable operations to allow for gradient-based computational optimization of phosphene encoding models. The simulator integrates a wide range of clinical results with neurophysiological evidence in humans and non-human primates. The pipeline includes a model of the retinotopic organization and cortical magnification of the visual cortex. Moreover, the quantitative effects of stimulation parameters and temporal dynamics on phosphene characteristics are incorporated. Our results demonstrate the simulator's suitability for both computational applications such as end-to-end deep learning-based prosthetic vision optimization as well as behavioral experiments. The modular and open-source software provides a flexible simulation framework for computational, clinical, and behavioral neuroscientists working on visual neuroprosthetics.

Indexed as

PhosphenesVisual ProsthesisAnimalsBlindnessComputer SimulationHumansSoftwarebionic visionblindnesscortical stimulationdeep learninghumanneural implantsneuroscienceneurotechnologysimulated prosthetic vision

Identifiers

PMID38386406
PMCPMC10883675
OpenAlexW4392034091

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.