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

Properties of DTFT I01:24

Properties of DTFT I

618
In signal processing, Discrete-Time Fourier Transforms (DTFTs) play a critical role in analyzing discrete-time signals in the frequency domain. Various properties of the DTFTs such as linearity, time-shifting, frequency-shifting, time reversal, conjugation, and time scaling help understand and manipulate these signals for different applications.
The linearity property of DTFTs is fundamental. If two discrete-time signals are multiplied by constants a and b respectively, and then combined to...
618
Dimensional Analysis01:23

Dimensional Analysis

1.7K
Dimensional analysis is a powerful tool that is used in physics and engineering to understand and predict the behavior of physical systems. The basic idea behind dimensional analysis is to express physical quantities in terms of fundamental dimensions such as the mass, length, and time. Derived dimensions like the velocity, acceleration, and force are derived from the combinations of these fundamental dimensions.
Dimensional analysis allows us to analyze and compare physical quantities on a...
1.7K
Dimensional Analysis02:19

Dimensional Analysis

20.5K
The concept of dimension is important because every mathematical equation linking physical quantities must be dimensionally consistent, implying that mathematical equations must meet the following two rules. The first rule is that, in an equation, the expressions on each side of the equal sign must have the same dimensions. This is fairly intuitive since we can only add or subtract quantities of the same type (dimension). The second rule states that, in an equation, the arguments of any of the...
20.5K
Problem Solving: Dimensional Analysis01:08

Problem Solving: Dimensional Analysis

5.4K
Every mathematical equation that connects separate distinct physical quantities must be dimensionally consistent, which implies it must abide by two rules. For this reason, the concept of dimension is crucial. The first rule is that an equation's expressions on either side of an equality must have the exact same dimension, i.e., quantities of the same dimension can be added or removed. The second rule stipulates that all popular mathematical functions, such as exponential, logarithmic, and...
5.4K
Stereotypes, Prejudice, and Discrimination02:55

Stereotypes, Prejudice, and Discrimination

93.6K
Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
93.6K
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

236
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
236

You might also read

Related Articles

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

Sort by
Same author

Conscious vision: Why wait?

The Behavioral and brain sciences·2026
Same author

Subtle Gaze and Pupil Dynamics: Detecting Recognition of Familiar Faces with Moving Serial Visual Presentation.

Journal of cognition·2026
Same author

Estimating the Mean: Behavioral and Neural Correlates of Summary Representations for Time Intervals.

Journal of cognitive neuroscience·2025
Same author

Behaviorally Irrelevant Feature Matching Increases Neural and Behavioral Working Memory Readout.

Psychophysiology·2025
Same author

A unified neurocomputational model of prospective and retrospective timing.

Psychological review·2025
Same author

Concurrent consumption of cocoa flavanols and caffeine does not acutely modulate working memory and attention.

European journal of nutrition·2024

Related Experiment Video

Updated: Nov 15, 2025

Measurement & Analysis of the Temporal Discrimination Threshold Applied to Cervical Dystonia
10:05

Measurement & Analysis of the Temporal Discrimination Threshold Applied to Cervical Dystonia

Published on: January 27, 2018

10.0K

A common dynamic prior for time in duration discrimination.

Joost de Jong1, Elkan G Akyürek2, Hedderik van Rijn2

  • 1Department of Experimental Psychology, University of Groningen, Grote Kruisstraat 2/1, 9712 TS, Groningen, the Netherlands. joost.de.jong@rug.nl.

Psychonomic Bulletin & Review
|March 4, 2021
PubMed
Summary
This summary is machine-generated.

Time estimation is influenced by context. This study found that a Bayesian model, where each perceived duration updates an internal time reference, best explains duration discrimination, supporting dynamic prior updating.

Keywords:
Bayesian modellingContext effectsDuration discriminationTime perception

More Related Videos

Author Spotlight: Exploring the Link Between Time Perception of Visual Stimuli and Reading Skills
09:27

Author Spotlight: Exploring the Link Between Time Perception of Visual Stimuli and Reading Skills

Published on: January 19, 2024

1.5K
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

12.5K

Related Experiment Videos

Last Updated: Nov 15, 2025

Measurement & Analysis of the Temporal Discrimination Threshold Applied to Cervical Dystonia
10:05

Measurement & Analysis of the Temporal Discrimination Threshold Applied to Cervical Dystonia

Published on: January 27, 2018

10.0K
Author Spotlight: Exploring the Link Between Time Perception of Visual Stimuli and Reading Skills
09:27

Author Spotlight: Exploring the Link Between Time Perception of Visual Stimuli and Reading Skills

Published on: January 19, 2024

1.5K
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

12.5K

Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Decision Making

Background:

  • Time estimation is susceptible to contextual influences, affecting accuracy in duration discrimination tasks.
  • Previous models proposed internal references influencing time perception, but their dynamic updating properties remain debated.

Purpose of the Study:

  • To compare two models of time estimation: one with a static internal reference and another with a dynamically updating Bayesian reference.
  • To investigate how global and local statistical contexts bias duration discrimination.

Main Methods:

  • Implemented and tested predictions of an internal reference model versus a Bayesian account of time estimation.
  • Utilized a duration discrimination task with a variable standard duration across trials.

Main Results:

  • Results supported the Bayesian perspective, showing that the standard duration biased comparison judgments.
  • Both preceding standard and comparison durations systematically biased subsequent time estimations.
  • Higher observer precision correlated with reduced temporal biases.

Conclusions:

  • Findings suggest a dynamic prior for time perception, updated by each experienced duration.
  • The weighting of past versus new information in time estimation depends on their relative precision.