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

Eyewitness Memory

Eyewitness Memory

Eyewitness memory refers to the recollection of events by someone who has directly witnessed them, often serving as critical evidence in legal settings. This type of memory is commonly used in criminal cases where a witness describes details like a suspect's appearance, clothing, or behavior during a crime. However, despite its perceived reliability, eyewitness memory is prone to significant errors.
One such error is memory distortion, which occurs because human memory does not function...

Visual System

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...

You might also read

Related Articles

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

Sort by

Same author

Unpacking similarity effects in visual memory search: categorical, semantic, and visual contributions.

Journal of memory and language·2026

Same author

Attention in the wild: balancing flexibility and stability.

Trends in cognitive sciences·2026

Same author

Spatiotemporal Representations of Contextual Associations for Real-World Objects.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026

Same author

Narrative context shifts gaze from visual to semantic salience.

Communications psychology·2026

Same author

Dynamic context-based updating of object representations in the visual cortex.

Science advances·2026

Same author

Attentional guidance through object associations in visual cortex.

Science advances·2026

Same journal

Differentiation of cortical areas: effects of free energy minimization with broken symmetry.

Cerebral cortex (New York, N.Y. : 1991)·2026

Same journal

Prior exposure to speech rapidly modulates cortical processing of high-level linguistic structure.

Cerebral cortex (New York, N.Y. : 1991)·2026

Same journal

Beta bursts in SMA mediate anticipatory muscle inhibition.

Cerebral cortex (New York, N.Y. : 1991)·2026

Same journal

Cognitive load modulates the effects of social contexts on facial expression processing.

Cerebral cortex (New York, N.Y. : 1991)·2026

Same journal

The neural mechanisms of aligning spatial perspectives.

Cerebral cortex (New York, N.Y. : 1991)·2026

Same journal

Relationships between bilateral tapping skills and brain gray matter volumes: a voxel-based morphometry study.

Cerebral cortex (New York, N.Y. : 1991)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 25, 2025

How to Detect Amygdala Activity with Magnetoencephalography using Source Imaging

How to Detect Amygdala Activity with Magnetoencephalography using Source Imaging

Published on: June 3, 2013

Objects sharpen visual scene representations: evidence from MEG decoding.

Talia Brandman¹, Marius V Peelen¹

¹Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen 6525 GD, The Netherlands.

Cerebral Cortex (New York, N.Y. : 1991)

|June 27, 2023

Summary

This summary is machine-generated.

Objects sharpen scene perception, just as scenes sharpen object perception. This visual processing interaction, observed using magnetoencephalography (MEG), occurs around 300 ms, suggesting a shared predictive mechanism.

Keywords:

categorization context predictive processing scene perception

More Related Videos

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography

Published on: July 26, 2019

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

Related Experiment Videos

Last Updated: Jul 25, 2025

How to Detect Amygdala Activity with Magnetoencephalography using Source Imaging

How to Detect Amygdala Activity with Magnetoencephalography using Source Imaging

Published on: June 3, 2013

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography

Published on: July 26, 2019

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

Area of Science:

Neuroscience
Cognitive Science
Visual Perception

Background:

Real-world scenes involve objects (local info) and backgrounds (global info).
Visual cortex processes objects and scenes separately but interactively.
Scene context enhances object clarity, evident in visual cortex activity ~300 ms post-stimulus.

Purpose of the Study:

To investigate if objects also sharpen scene representations.
To determine the temporal dynamics of object-scene interaction in visual processing.
To explore the underlying neural mechanisms, potentially involving predictive processing.

Main Methods:

Magnetoencephalography (MEG) was used to record brain activity.
Blurred indoor/outdoor scenes were presented with/without objects.
Machine learning classifiers distinguished MEG patterns for intact scenes.
Classifiers were tested on degraded scenes to assess object influence.

Main Results:

Decoding of scene representations improved significantly with object presence compared to scenes or objects alone.
This object-to-scene sharpening effect showed a similar temporal profile (~300 ms) as scene-to-object effects.
The effect was most pronounced over left posterior brain regions.

Conclusions:

Objects actively sharpen scene representations in the brain.
The reciprocal influence between objects and scenes occurs with similar timing.
Findings support a common predictive processing framework for visual scene and object integration.