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

Ordinal Level of Measurement00:55

Ordinal Level of Measurement

24.2K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks...
24.2K
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

27.1K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
27.1K
Sensory Perception: Organization of the Somatosensory System01:11

Sensory Perception: Organization of the Somatosensory System

8.4K
The somatosensory system is the central and peripheral nervous system component that senses and processes touch, pressure, pain, temperature, and body position or proprioception. The process of sensation takes place at three levels:
The receptor level:
The receptor level is the first stage of sensation. It involves the detection of a stimulus by specialized sensory receptors. The stimulus must arrive within the receptor's receptive field. Next, the receptor converts the energy of the...
8.4K
Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

1.3K
The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
1.3K
Neural Circuits01:25

Neural Circuits

3.0K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
3.0K
Parallel Processing01:20

Parallel Processing

950
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...
950

You might also read

Related Articles

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

Sort by
Same author

Numerical precision or inhibitory control? Exploring latent profiles in preschoolers' numerosity judgments.

Acta psychologica·2026
Same author

Citizen science in psychology: Challenges, opportunities, and recommendations.

Behavior research methods·2026
Same author

The role of verbal working memory load on number order processing: Evidence from an articulatory suppression paradigm.

Acta psychologica·2026
Same author

The nature of order processing deficits in developmental dyscalculia: The influences of familiarity and the count-list.

Journal of experimental child psychology·2025
Same author

Sharpening the number sense: Developmental trends in numerosity perception.

Journal of experimental child psychology·2025
Same author

The presence of the reverse distance effect depends on the familiarity of the sequences being processed.

Psychological research·2025
Same journal

Sensorimotor Adaptation of Vocal Pitch Is Impaired in Cerebellar Ataxia.

Journal of cognitive neuroscience·2026
Same journal

Memory in the Palm of Your Hand: Smartphone-based Methods for Measuring Memory in the Wild.

Journal of cognitive neuroscience·2026
Same journal

Processing Asymmetry in Object-modifying Relative Clauses: Evidence from Functional Connectivity.

Journal of cognitive neuroscience·2026
Same journal

Extensive Experience Remodels Neural Task Circuitry to Escape the Frontal Bottleneck and Increase Automaticity of Categorization.

Journal of cognitive neuroscience·2026
Same journal

Investigating the Effects of Acute Stress on Neural Mechanisms of Self-controlled Decision-making.

Journal of cognitive neuroscience·2026
Same journal

Distilling the Neurophenomenological Signatures of Pure Awareness during Transcendental Meditation.

Journal of cognitive neuroscience·2026
See all related articles

Related Experiment Video

Updated: May 4, 2026

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

19.5K

The neural mechanism underlying ordinal numerosity processing.

Titia Gebuis1, Bert Reynvoet

  • 1University of Leuven.

Journal of Cognitive Neuroscience
|December 19, 2013
PubMed
Summary
This summary is machine-generated.

Sensory properties influence how we perceive numbers, challenging the idea that number processing is independent of visual cues. Brain activity shows visual cues are integrated when judging numerosity.

More Related Videos

A Two-interval Forced-choice Task for Multisensory Comparisons
07:13

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

10.6K
New Methods to Study Gustatory Coding
10:59

New Methods to Study Gustatory Coding

Published on: June 29, 2017

10.9K

Related Experiment Videos

Last Updated: May 4, 2026

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

19.5K
A Two-interval Forced-choice Task for Multisensory Comparisons
07:13

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

10.6K
New Methods to Study Gustatory Coding
10:59

New Methods to Study Gustatory Coding

Published on: June 29, 2017

10.9K

Area of Science:

  • Cognitive Neuroscience
  • Psychology
  • Visual Perception

Background:

  • Sensory properties of stimuli impact nonsymbolic number tasks.
  • Current understanding suggests numerosity processing is independent of sensory properties.
  • The role of sensory cues in ordinal number processing requires further investigation.

Purpose of the Study:

  • To investigate the role of sensory cues in ordinal number processing.
  • To examine the interaction between numerosity and its sensory properties.
  • To determine if visual cues are integrated during numerosity judgments.

Main Methods:

  • Orthogonal manipulation of numerosity and sensory properties.
  • Passive viewing of stimuli.
  • Measurement of brain activity using electroencephalography (EEG).

Main Results:

  • An interaction between numerosity and sensory properties was observed.
  • Neural responses differed when sensory cues and numerosity changed in the same versus opposite directions.
  • No main effects of numerosity or sensory properties alone were found.

Conclusions:

  • Sensory cues are integrated with numerosity during visual processing.
  • Visual cues are taken into account when judging numerosity.
  • Neural responses suggest an expectation for sensory cues to change in concert with numerosity.