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 Concept Videos

Visual System01:26

Visual System

Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...

You might also read

Related Articles

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

Sort by
Same author

Text Sequence Stimulation for High-Speed and Comfortable SSVEP-BCI.

Cyborg and bionic systems (Washington, D.C.)·2026
Same author

A color-coded SSVEP-based brain-computer interface.

Journal of neural engineering·2026
Same author

The application effect of the 5E-microteaching integration model in the standardized training of general practitioners.

Frontiers in medicine·2026
Same author

Can the Use of Telehealth Guidance Services Reduce Depressive Symptoms Among Family Caregivers of Older Adults with Cognitive Impairment? A Moderated-Mediation Model.

Healthcare (Basel, Switzerland)·2026
Same author

Research on the drilling pipe health monitoring and intelligent life prediction management platform.

Scientific reports·2026
Same author

A High-Speed Visual BCI Based on Hybrid Frequency-Phase-Space Encoding and High-Density EEG Decoding.

Cyborg and bionic systems (Washington, D.C.)·2026

Related Experiment Video

Updated: Jul 2, 2026

Central and Divided Visual Field Presentation of Emotional Images to Measure Hemispheric Differences in Motivated Attention
05:36

Central and Divided Visual Field Presentation of Emotional Images to Measure Hemispheric Differences in Motivated Attention

Published on: November 16, 2017

7.6K

Visual field inhomogeneous in brain-computer interfaces based on rapid serial visual presentation.

Shangen Zhang1, Xiaogang Chen2, Yijun Wang3

  • 1School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, People's Republic of China.

Journal of Neural Engineering
|January 11, 2022
PubMed
Summary
This summary is machine-generated.

Visual attention varies across the visual field. This study identifies electroencephalogram (EEG) markers sensitive to these variations, improving brain-computer interface (BCI) applications for target localization.

Keywords:
N2-posterior-contralateral (N2pc)P300brain–computer interface (BCI)rapid serial visual presentation (RSVP)steady-state visual evoked potential (SSVEP)

More Related Videos

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition
07:45

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Published on: July 21, 2020

4.6K
A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

2.6K

Related Experiment Videos

Last Updated: Jul 2, 2026

Central and Divided Visual Field Presentation of Emotional Images to Measure Hemispheric Differences in Motivated Attention
05:36

Central and Divided Visual Field Presentation of Emotional Images to Measure Hemispheric Differences in Motivated Attention

Published on: November 16, 2017

7.6K
Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition
07:45

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Published on: July 21, 2020

4.6K
A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

2.6K

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Biomedical Engineering

Background:

  • Visual attention is unevenly distributed across the visual field.
  • Understanding how visual field inhomogeneity affects brain activity is crucial for advanced brain-computer interfaces (BCIs).
  • Identifying specific electroencephalogram (EEG) features sensitive to these attention variations remains a challenge.

Purpose of the Study:

  • To investigate the impact of visual field inhomogeneity on behavioral performance and EEG characteristics.
  • To identify effective EEG features, such as steady-state visual evoked potential (SSVEP), N2-posterior-contralateral (N2pc), and P300, sensitive to visual field asymmetry.
  • To explore the application of these findings in Brain-Computer Interface (BCI) systems for precise spatial orientation.

Main Methods:

  • Images were presented using a rapid serial visual presentation (RSVP) paradigm in central, left/right, and upper/lower visual field patterns.
  • Stimulation frequencies of 10, 15, and 20 Hz were used.
  • Behavioral data and EEG characteristics, including SSVEP, N2pc, and P300, were analyzed to compare different visual fields.

Main Results:

  • RSVP target detection performance was significantly influenced by visual field, with central > peripheral, horizontal > vertical, left > right, and upper > lower visual fields.
  • EEG analysis revealed significant left-right asymmetry in N2pc and P300 components in occipital and frontal regions, respectively.
  • SSVEP data indicated visual field overlap on the horizontal meridian but not the vertical meridian.

Conclusions:

  • Visual field inhomogeneity significantly impacts behavioral performance and EEG spatial distribution.
  • Specific EEG components (N2pc, P300) and SSVEP characteristics can reflect visual field asymmetry.
  • This research offers insights into visual attention mechanisms and has potential for enhancing spatial awareness in RSVP-BCIs.