Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Predicting Molecular Geometry

Predicting Molecular Geometry

VSEPR Theory for Determination of Electron Pair Geometries

Prediction Intervals

Prediction Intervals

The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.

End Point Prediction: Gran Plot

End Point Prediction: Gran Plot

A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...

Sensitivity, Specificity, and Predicted Value

Sensitivity, Specificity, and Predicted Value

In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...

COPD: Pathogenesis and Clinical Features

COPD: Pathogenesis and Clinical Features

Chronic obstructive pulmonary disease (COPD) is a group of lung conditions that progressively worsen over time, including chronic bronchitis and emphysema. This cluster of diseases collectively leads to a gradual and irreversible decline in lung function over time.
The primary cause for the onset of COPD is cigarette smoking and exposure to air pollution. These hazardous factors initiate a chain reaction within the lungs, resulting in chronic inflammation, damage to the airways, and a...

Predicting Reaction Outcomes

Predicting Reaction Outcomes

Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...

You might also read

Related Articles

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

Sort by

Same author

Dynamic competition between selective attention and spatial prediction during visual search.

Journal of experimental psychology. Human perception and performance·2026

Same author

An open-access multi-site fMRI dataset for investigating conscious visual perception.

Scientific data·2026

Same author

Attention in the wild: balancing flexibility and stability.

Trends in cognitive sciences·2026

Same author

Stimulus dependencies-rather than next-word prediction-can explain pre-onset brain encoding in naturalistic listening designs.

eLife·2026

Same author

Where learning paths meet: Convergence and divergence of statistical and reinforcement learning.

Current opinion in neurobiology·2026

Same author

What type of relationship is learned during visual statistical learning?

PloS one·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

Same journal

On manipulating motion gain in immersive virtual environments: An unidentified source of external noise and a new psychometric function.

Journal of vision·2026

Same journal

Visual information for the identification of nonrigid motion.

Journal of vision·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 31, 2026

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

Predictive remapping of visual features beyond saccadic targets.

Tao He¹, Matthias Fritsche¹, Floris P de Lange¹

¹Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands.

Journal of Vision

|December 29, 2018

Summary

This summary is machine-generated.

Predictive remapping of visual features, not adaptation states, helps maintain visual stability during eye movements. This process occurs across the entire visual field, even for non-target stimuli.

More Related Videos

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Published on: February 23, 2024

Recording Horizontal Saccade Performances Accurately in Neurological Patients Using Electro-oculogram

Recording Horizontal Saccade Performances Accurately in Neurological Patients Using Electro-oculogram

Published on: March 13, 2018

Related Experiment Videos

Last Updated: Jan 31, 2026

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Published on: February 23, 2024

Recording Horizontal Saccade Performances Accurately in Neurological Patients Using Electro-oculogram

Recording Horizontal Saccade Performances Accurately in Neurological Patients Using Electro-oculogram

Published on: March 13, 2018

Area of Science:

Cognitive Neuroscience
Visual Perception
Human Psychophysics

Background:

Visual stability during eye movements is crucial for continuous perception.
Predictive remapping is hypothesized to maintain object location information across saccades.
The extent and nature of presaccadic feature remapping remain debated.

Purpose of the Study:

To investigate the spatial and featural properties of predictive remapping.
To determine if feature information or adaptation states are predictively remapped.
To examine the scope of predictive remapping across the visual field.

Main Methods:

Employed an orientation-adaptation paradigm to induce tilt aftereffects.
Presented test stimuli shortly before saccade onset.
Varied adaptor and test stimulus locations relative to presaccadic and postsaccadic positions.

Main Results:

Demonstrated significant predictive remapping of test stimulus features, evidenced by tilt aftereffects.
Found no evidence for predictive remapping of the adaptation state itself.
Showed that predictive remapping occurs for non-saccade targets, suggesting a global process.

Conclusions:

Predictive feature remapping of object information is critical for visual stability.
This remapping mechanism operates proactively across the visual field.
Distinguishes between remapping of object features and the adaptation state.