Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Nov 14, 2025

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

9.1K

Neural activity shaping utilizing a partitioned target pattern.

Martin J Spencer1, Tatiana Kameneva1,2, David B Grayden1

  • 1Department of Biomedical Engineering, The University of Melbourne, Parkville, Victoria, Australia.

Journal of Neural Engineering
|March 8, 2021
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same authorSame journal

Ultra-flexible wireless endovascular stimulator for cortical simulation.

Journal of neural engineering·2026
Same author

The Influence of Recording Duration and Vigilance State on High-Frequency Oscillation Characterization in Epilepsy.

Neurology·2026
Same author

Perceived direction of glass patterns can flip by 90°: A neural model.

Vision research·2026
Same author

A neural mass modelling framework for evaluating EEG source localisation of seizure activity.

Journal of neural engineering·2026
Same author

Investigation of stress hormones across multiday seizure cycles.

Brain communications·2026
Same author

Toward a fully wireless endovascular neural interface: Evaluating power transfer efficacy.

PloS one·2026
Same journal

A computational framework for fitting biophysical basal-ganglia network models, applied to Parkinsonian beta oscillations.

Journal of neural engineering·2026
Same journal

A sensor-driven Hill-type muscle modeling framework integrating sEMG and pFMG for biceps brachii force estimation.

Journal of neural engineering·2026
Same journal

Overcoming brain non-stationarity: Adaptive RLS classification for stable BCIs based on auditory evoked potentials.

Journal of neural engineering·2026
Same journal

Mapping neural representations of fine and gross upper-limb movements across dorsoventral subthalamic nucleus subregions in Parkinson's disease.

Journal of neural engineering·2026
Same journal

Influence of frequency and pulse train duration on respiratory responses during transcutaneous phrenic nerve stimulation in humans.

Journal of neural engineering·2026
See all related articles

A new image segmentation method improves visual prosthesis by enhancing neural stimulating array resolution. This technique optimizes generator signal patterns, leading to higher contrast perception and a better user experience.

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Computer Vision

Background:

  • Electrical stimulation of neural tissue is crucial for clinical and experimental devices, generating a signal to evoke neural activity.
  • In visual prostheses, the spread of this generator signal creates phosphenes, which can overlap and limit visual perception.
  • Current methods for controlling overlapping phosphenes involve complex optimization that can lead to suboptimal outcomes.

Purpose of the Study:

  • To develop a novel partitioning method using image segmentation for optimizing generator signal regions in neural stimulation.
  • To enhance control over neural activity patterns and improve visual perception in prosthetic devices.
  • To address the NP-hard problem of partitioning target patterns for positive and negative generator signals.

Main Methods:

Keywords:
bionic eyecurrent steeringneural activityretinal prosthesisstimulation strategy

More Related Videos

Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze
11:15

Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze

Published on: February 20, 2014

13.3K
Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment
09:30

Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment

Published on: May 23, 2025

1.0K

Related Experiment Videos

Last Updated: Nov 14, 2025

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

9.1K
Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze
11:15

Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze

Published on: February 20, 2014

13.3K
Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment
09:30

Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment

Published on: May 23, 2025

1.0K
  • A new partitioning method utilizing image segmentation was proposed to identify optimal positive and negative generator signal regions.
  • The proposed method was evaluated against alternative approaches using a database of 1000 natural images.
  • Performance was assessed based on the mean squared error of the resulting neural activity patterns.

Main Results:

  • The image segmentation method improved outcomes for 32% of images under nominal conditions with a set computation limit.
  • Image pre-processing to emphasize perceptual features increased the improvement rate to 89%.
  • The effectiveness of image segmentation increased with lower computation limits, suggesting efficiency.

Conclusions:

  • Image segmentation offers a promising new approach to partitioning neural stimulation patterns.
  • This method can significantly increase the resolution of neural stimulating arrays.
  • The findings have the potential to greatly improve the visual experience for users of visual prostheses.