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

Multiple Comparison Tests01:13

Multiple Comparison Tests

Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
Classification of Systems-II01:31

Classification of Systems-II

Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
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...
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...
Continuity of a Function01:23

Continuity of a Function

A function is continuous at a point a if three conditions are met: the function is defined at a, the limit of the function as x approaches a exists, and this limit equals the function’s value. Mathematically, this is written asThis definition ensures the graph of the function does not exhibit any breaks, holes, or jumps at that point. Discontinuities occur when any of these conditions fail. A removable discontinuity exists when the two-sided limit exists but the function is either undefined or...
Classification of Signals01:30

Classification of Signals

In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...

You might also read

Related Articles

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

Sort by
Same author

Is "sky" bluer than "grass" is green? Word-color associations dataset for cognitive science.

Behavior research methods·2026
Same author

The illusion of numerical value.

Cognition·2026
Same author

Linguistic experiential priors account for notation-dependent numerical representations.

Cognition·2026
Same author

Irrelevant Task Difficulty Modulates the Emergence of Task Conflict.

Journal of cognition·2026
Same author

A novel task for measuring numerical bias among adults.

Cognition·2026
Same author

Categorized Affective Pictures Database; tested on adults - rated appropriate for kids.

Acta psychologica·2025
Same journal

EXPRESS: When illusion rivals reality. Investigating error detection and the role of working memory resources in the Vanishing Ball Illusion.

Quarterly journal of experimental psychology (2006)·2026
Same journal

EXPRESS: Metaphors and the Body: Perceived Locations for the Self are Influenced by Conceptual Metaphor.

Quarterly journal of experimental psychology (2006)·2026
Same journal

EXPRESS: Age-related Differences in Recognition Memory for Discourse: The Case of Modified Words, Competitors, and Related Lures.

Quarterly journal of experimental psychology (2006)·2026
Same journal

EXPRESS: Exaggerated Self-Referencing in Body Dysmorphic Disorder.

Quarterly journal of experimental psychology (2006)·2026
Same journal

EXPRESS: Post-Error Adjustments: The role of Response Stimulus Intervals and error placement.

Quarterly journal of experimental psychology (2006)·2026
Same journal

Mitigating the Low Prevalence Effect: Role of Removing Explicit "Target-Absent" Responses in Visual Search.

Quarterly journal of experimental psychology (2006)·2026
See all related articles

Related Experiment Video

Updated: May 7, 2026

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

Comparing performance in discrete and continuous comparison tasks.

Tali Leibovich1, Avishai Henik

  • 1a Department of Cognitive and Brain Sciences , Ben-Gurion University of the Negev , Beer-Sheva , Israel.

Quarterly Journal of Experimental Psychology (2006)
|September 28, 2013
PubMed
Summary
This summary is machine-generated.

The approximate number system (ANS) theory is challenged, suggesting separate systems for processing discrete and continuous magnitudes. This research indicates magnitude processing is not a single system but divided, impacting numerical development.

Keywords:
Approximate number systemContinuous magnitudes.Numerical cognition

More Related Videos

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
11:09

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

An Operant Intra-/Extra-dimensional Set-shift Task for Mice
08:35

An Operant Intra-/Extra-dimensional Set-shift Task for Mice

Published on: January 22, 2016

Related Experiment Videos

Last Updated: May 7, 2026

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

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
11:09

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

An Operant Intra-/Extra-dimensional Set-shift Task for Mice
08:35

An Operant Intra-/Extra-dimensional Set-shift Task for Mice

Published on: January 22, 2016

Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Human Perception

Background:

  • The approximate number system (ANS) theory posits a unified system for processing discrete and continuous magnitudes, adhering to Weber's law.
  • Previous research suggested a shared mechanism for numerical and non-numerical magnitude comparison.

Purpose of the Study:

  • To reexamine the ANS theory by comparing performance in discrete (numerosity) and continuous (area) magnitude comparison tasks.
  • To investigate whether a shared system processes both discrete and continuous magnitudes and if Weber's law applies universally.

Main Methods:

  • Participants performed tasks comparing numerosities of dot arrays (discrete) and areas of squares (continuous).
  • Discrimination thresholds were measured for both discrete and continuous comparison tasks.
  • Performance was analyzed for compliance with Weber's law and the influence of non-target magnitude properties.

Main Results:

  • Discrimination thresholds were higher for continuous magnitude comparisons than for discrete ones.
  • Performance in the discrete task followed Weber's law, while the continuous task violated it.
  • Discrete magnitude judgments were influenced by continuous properties like dot density and cumulative area.

Conclusions:

  • The findings suggest the magnitude processing system (MPS) is divided into separate, interactive systems for discrete and continuous magnitudes.
  • This division challenges the unified ANS theory and proposes a more nuanced model of magnitude perception.
  • Understanding these separate systems is crucial for insights into normal and impaired numerical development.