Cited by 45Neuroscience and Neural EngineeringTactile and Sensory InteractionsEEG and Brain-Computer Interfaces

Detection, eye–hand coordination and virtual mobility performance in simulated vision for a cortical visual prosthesis device

Open access
Srivastava, Nishant R, Troyk, Philip R, Dagnelie, Gislin·2009·Journal of Neural Engineering

Abstract

In order to assess visual performance using a future cortical prosthesis device, the ability of normally sighted and low vision subjects to adapt to a dotted 'phosphene' image was studied. Similar studies have been conduced in the past and adaptation to phosphene maps has been shown but the phosphene maps used have been square or hexagonal in pattern. The phosphene map implemented for this testing is what is expected from a cortical implantation of the arrays of intracortical electrodes, generating multiple phosphenes. The dotted image created depends upon the surgical location of electrodes decided for implantation and the expected cortical response. The subjects under tests were required to perform tasks requiring visual inspection, eye-hand coordination and way finding. The subjects did not have any tactile feedback and the visual information provided was live dotted images captured by a camera on a head-mounted low vision enhancing system and processed through a filter generating images similar to the images we expect the blind persons to perceive. The images were locked to the subject's gaze by means of video-based pupil tracking. In the detection and visual inspection task, the subject scanned a modified checkerboard and counted the number of square white fields on a square checkerboard, in the eye-hand coordination task, the subject placed black checkers on the white fields of the checkerboard, and in the way-finding task, the subjects maneuvered themselves through a virtual maze using a game controller. The accuracy and the time to complete the task were used as the measured outcome. As per the surgical studies by this research group, it might be possible to implant up to 650 electrodes; hence, 650 dots were used to create images and performance studied under 0% dropout (650 dots), 25% dropout (488 dots) and 50% dropout (325 dots) conditions. It was observed that all the subjects under test were able to learn the given tasks and showed improvement in performance with practice even with a dropout condition of 50% (325 dots). Hence, if a cortical prosthesis is implanted in human subjects, they might be able to perform similar tasks and with practice should be able to adapt to dotted images even with a low resolution of 325 dots of phosphene.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1088/1741-2560/6/3/035008

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Some previous studies have used a model of cortical magnification or visuotopic mapping in their phosphene simulations.

    “Some previous studies have used a model of cortical magnification (Srivastava et al., 2009; Paraskevoudi and Pezaris, 2021) or visuotopic mapping (Wong et al., 2010; Li, 2013) in their phosphene simulations.”
  • Srivastava et al. developed a more biologically plausible simulation of phosphene vision that explicitly models the effect of cortical magnification for a specific electrode configuration.

    “Srivastava et al. (Srivastava et al., 2007; Srivastava, et al., 2009) developed a more biologically plausible simulation of phosphene vision that explicitly models this effect of cortical magnification for a specific electrode configuration.”

    From End-to-end optimization of prosthetic vision (2022) · cites this paper as Srivastava, et al., 2009

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 33 · Cited by 45

Authors
Srivastava, N. R., Troyk, P. R., & Dagnelie, G.
Affiliations
  • Illinois Institute of Technology (US)
  • Johns Hopkins University (US)
Venue
Journal of Neural Engineering
Published
2009-05-20
Volume
6
Issue
3
Pages
035008
ISSN
  • 1741-2552 (ISSN-L)
  • 1741-2560
OpenAlex
W2167308659
Cited by
45
References
33
Citations by year
2026: 1 · 2025: 2 · 2024: 2 · 2023: 2 · 2022: 9 · 2020: 2 · 2019: 1 · 2018: 3 · 2017: 3 · 2016: 5 · 2014: 2 · 2013: 6
FWCI
0.97
Type
journal article
Language
en
Open access
Locations
  • Journal of Neural Engineering (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Eye Institute (R01EY012843)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
Keywords
cortical visual prosthesis, eye-hand coordination, wayfinding, low vision, intracortical electrodes, visual adaptation, gaze tracking, visual inspection
MeSH terms
Adult, Female, Hand, Humans, Male, Middle Aged, Motor Skills, Movement, Phosphenes, Task Performance and Analysis, Visual Perception, Biomimetics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review