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

Force Classification01:22

Force Classification

1.7K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.7K
Association Areas of the Cortex01:21

Association Areas of the Cortex

6.3K
Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
6.3K

You might also read

Related Articles

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

Sort by
Same author

Children Do Not Endorse a "Male = Brilliance" Stereotype When Reasoning About Novel Occupations.

Developmental science·2026
Same author

Functional organization of the human visual system at birth and across late gestation.

bioRxiv : the preprint server for biology·2025
Same author

Do children value intellectual humility over intellectual arrogance?

Developmental psychology·2025
Same author

Visual looming is a primitive for human emotion.

bioRxiv : the preprint server for biology·2023
Same author

Temporal asymmetries and interactions between dorsal and ventral visual pathways during object recognition.

Cerebral cortex communications·2023
Same author

Perception of an object's global shape is best described by a model of skeletal structure in human infants.

eLife·2022
Same journal

Erratum for the Research Article "Assessing the health risks of rice cadmium content standards in China" by H. Chu <i>et al</i>.

Science advances·2026
Same journal

Erratum for the Research Article "Developmental regulation of Erk signaling by mitotic kinases" by F. Chen <i>et al</i>.

Science advances·2026
Same journal

Magnetically levitated metasurface enabling tangible and bidirectional human-machine interaction.

Science advances·2026
Same journal

A general photoinduced manganese-catalyzed platform for the sequential difunctionalization of [1.1.1]propellane.

Science advances·2026
Same journal

Turning sound and force into light with AlN:Mn<sup>2+</sup> mechanoluminescence.

Science advances·2026
Same journal

Extreme dominance of Earth-origin heavy ions in the intense ring current near the Earth during the May 2024 super geomagnetic storm.

Science advances·2026
See all related articles

Related Experiment Video

Updated: Sep 17, 2025

A Method to Quantify Visual Information Processing in Children Using Eye Tracking
09:47

A Method to Quantify Visual Information Processing in Children Using Eye Tracking

Published on: July 9, 2016

17.7K

Fast and robust visual object recognition in young children.

Vladislav Ayzenberg1,2, Sukran Bahar Sener3, Kylee Novick4

  • 1Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA.

Science Advances
|July 2, 2025
PubMed
Summary
This summary is machine-generated.

Children as young as 3 can recognize objects quickly, even with limited visual information. Computational models struggle to match this robust object recognition ability without extensive training data.

More Related Videos

Author Spotlight: An Automated Method for Assessing Visual Acuity in Infants and Toddlers Using an Eye-Tracking System
05:10

Author Spotlight: An Automated Method for Assessing Visual Acuity in Infants and Toddlers Using an Eye-Tracking System

Published on: March 17, 2023

3.2K
A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras
03:56

A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras

Published on: October 5, 2018

7.6K

Related Experiment Videos

Last Updated: Sep 17, 2025

A Method to Quantify Visual Information Processing in Children Using Eye Tracking
09:47

A Method to Quantify Visual Information Processing in Children Using Eye Tracking

Published on: July 9, 2016

17.7K
Author Spotlight: An Automated Method for Assessing Visual Acuity in Infants and Toddlers Using an Eye-Tracking System
05:10

Author Spotlight: An Automated Method for Assessing Visual Acuity in Infants and Toddlers Using an Eye-Tracking System

Published on: March 17, 2023

3.2K
A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras
03:56

A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras

Published on: October 5, 2018

7.6K

Area of Science:

  • Cognitive Science
  • Developmental Psychology
  • Computer Vision

Background:

  • Human adults exhibit remarkable object recognition from sparse and disrupted visual data.
  • Understanding the minimal conditions and developmental timeline for robust recognition is crucial.

Purpose of the Study:

  • To investigate the upper limits of children's object recognition capabilities.
  • To compare children's performance with computational models of visual recognition.

Main Methods:

  • Assessed object identification abilities in children aged 3 years.
  • Tested performance under sparse and disrupted viewing conditions with 100-millisecond presentation times (forward and backward masked).
  • Implemented and evaluated various computational models with biologically informed properties or optimized for recognition.

Main Results:

  • Children as young as 3 years demonstrated successful object identification under challenging visual conditions.
  • Computational models, even biologically inspired or optimized ones, did not achieve child-level performance.
  • Models required significantly more object examples than children experience to match their recognition abilities.

Conclusions:

  • The human visual system demonstrates robust object recognition with minimal experience.
  • Developmental constraints exist for children's visual recognition abilities.
  • Findings provide insights for developing more biologically plausible artificial intelligence systems.