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

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been developed.
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
RC Circuits: Charging A Capacitor01:30

RC Circuits: Charging A Capacitor

A circuit containing resistance and capacitance is called an RC circuit. A capacitor is an electrical component that stores electric charge by storing energy in an electric field. Consider a simple RC circuit having a DC (direct current) voltage source ε, a resistor R, a capacitor C, and a two-way position switch. In the circuit, the capacitor can be charged or discharged depending on the position of the switch.
When the switch is moved to connect the battery, the circuit reduces to a simple...
Masking and Demasking Agents01:19

Masking and Demasking Agents

EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on the metal...
Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...

You might also read

Related Articles

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

Sort by
Same author

CNS-Obsidian: A Neurosurgical Vision-Language Model Built From Scientific Publications.

Neurosurgery·2026
Same author

How much do patients benefit in quality of life after surgery for cervical spondylotic myelopathy? A Spine CORe™ analysis of QOD data.

Neurosurgical focus·2026
Same author

Offsetting costs of new ablation technologies with increased procedural efficiency and volume.

Heart rhythm·2026
Same author

LLM-assisted systematic review of large language models in clinical medicine.

Nature medicine·2026
Same author

What factors predict the best outcomes for older patients operated on for grade I degenerative lumbar spondylolisthesis? A machine learning analysis from the Quality Outcomes Database.

Journal of neurosurgery. Spine·2026
Same author

Comparison of Valvular and Ventricular Function After Right Ventricular, Leadless, Deep Septal, and Left Bundle Branch Area Pacemakers.

Pacing and clinical electrophysiology : PACE·2025
Same journal

Analysis of human visual experience data.

Journal of vision·2026
Same journal

Pyramid-based Bayesian modeling for high-resolution behavioral analysis.

Journal of vision·2026
Same journal

Sensation without perception: The white whale effect and perceptual blindness in autonomous vehicles.

Journal of vision·2026
Same journal

Gaze behavior during closed-captioned movie viewing adapts to absent audio through more frequent switching between text and scene.

Journal of vision·2026
Same journal

In pursuit of saccade awareness: Limited volitional control and minimal conscious access to catch-up saccades during smooth pursuit eye movements.

Journal of vision·2026
Same journal

Dissociable effects of element-lifetime and stimulus-duration on local and global motion processing: An equivalent noise study.

Journal of vision·2026
See all related articles

Related Experiment Video

Updated: May 24, 2026

How to Create and Use Binocular Rivalry
14:34

How to Create and Use Binocular Rivalry

Published on: November 10, 2010

Deconstructing continuous flash suppression.

Eunice Yang1, Randolph Blake

  • 1Vanderbilt Vision Research Center, Vanderbilt University, Nashville, TN, USA. eunice.yang@vanderbilt.edu

Journal of Vision
|March 13, 2012
PubMed
Summary
This summary is machine-generated.

Continuous flash suppression (CFS) selectively impairs visual processing based on stimulus features. The "Mondrian" CFS stimulus attenuates low spatial frequencies and cardinal orientations more than others.

More Related Videos

The Measurement and Treatment of Suppression in Amblyopia
08:34

The Measurement and Treatment of Suppression in Amblyopia

Published on: December 14, 2012

Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy
09:19

Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy

Published on: August 29, 2025

Related Experiment Videos

Last Updated: May 24, 2026

How to Create and Use Binocular Rivalry
14:34

How to Create and Use Binocular Rivalry

Published on: November 10, 2010

The Measurement and Treatment of Suppression in Amblyopia
08:34

The Measurement and Treatment of Suppression in Amblyopia

Published on: December 14, 2012

Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy
09:19

Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy

Published on: August 29, 2025

Area of Science:

  • Visual Neuroscience
  • Perceptual Psychology

Background:

  • Continuous flash suppression (CFS) is a technique used to render stimuli invisible to conscious perception.
  • Understanding the factors influencing CFS depth is crucial for interpreting studies on visual awareness and processing.

Purpose of the Study:

  • To investigate how spatiotemporal properties of visual stimuli affect the depth and selectivity of interocular suppression induced by CFS.
  • To determine the role of the CFS suppressor's characteristics in feature-selective suppression.

Main Methods:

  • Experiments measured contrast detection thresholds to quantify suppression depth.
  • Varied spatial frequencies and orientations of suppressed stimuli and the "Mondrian" CFS suppressor.
  • Analyzed suppression selectivity based on visual features like spatial frequency and orientation.

Main Results:

  • CFS differentially suppresses spatial components, with greater impairment for low spatial frequencies and cardinal orientations compared to high spatial frequencies and oblique orientations.
  • The feature-selective suppression bias originates from the spatiotemporal structure of the CFS stimulus, particularly its low spatial frequency content and smooth luminance changes.
  • Specific low-level signal classes are selectively attenuated by the CFS stimulus.

Conclusions:

  • The depth of CFS is not uniform but is modulated by the spatiotemporal features of both the suppressed and suppressing stimuli.
  • CFS acts as a feature-selective filter, preferentially attenuating certain low-level visual signals.
  • Future research using CFS must account for these low-level feature contributions to avoid misinterpretations of higher-level cognitive effects.