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

The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

7.8K
In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
7.8K
Basic Continuous Time Signals01:22

Basic Continuous Time Signals

692
Basic continuous-time signals include the unit step function, unit impulse function, and unit ramp function, collectively referred to as singularity functions. Singularity functions are characterized by discontinuities or discontinuous derivatives.
The unit step function, denoted u(t), is zero for negative time values and one for positive time values, exhibiting a discontinuity at t=0. This function often represents abrupt changes, such as the step voltage introduced when turning a car's...
692
Basic Discrete Time Signals01:16

Basic Discrete Time Signals

717
The unit step sequence is defined as 1 for zero and positive values of the integer n. This sequence can be graphically displayed using a set of eight sample points, showing a step function starting from n=0 and remaining constant thereafter.
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is the...
717
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

744
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...
744
Adjusting a Traverse01:12

Adjusting a Traverse

381
In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...
381
Half-life of a Reaction02:42

Half-life of a Reaction

38.9K
The half-life of a reaction (t1/2) is the time required for one-half of a given amount of reactant to be consumed. In each succeeding half-life, half of the remaining concentration of the reactant is consumed. For example, during the decomposition of hydrogen peroxide, during the first half-life (from 0.00 hours to 6.00 hours), the concentration of H2O2 decreases from 1.000 M to 0.500 M. During the second half-life (from 6.00 hours to 12.00 hours), the concentration decreases from 0.500 M to...
38.9K

You might also read

Related Articles

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

Sort by
Same author

Understanding everyday victimization experiences in vulnerable youth: an ecological momentary assessment approach.

European child & adolescent psychiatry·2025
Same author

Associations between digital speech features of automated cognitive tasks and trajectories of brain atrophy and cognitive decline in early Alzheimer's disease.

Journal of Alzheimer's disease : JAD·2025
Same author

Speech-based digital cognitive assessments for detection of mild cognitive impairment: Validation against paper-based neurocognitive assessment scores.

Journal of Alzheimer's disease : JAD·2025
Same author

Mirroring minds: assessing the relative stability of self-appraisal and reflected appraisal in daily life.

Frontiers in psychology·2025
Same author

Take a step back to see your own value: on the role of metacognition in self-esteem regulation.

Frontiers in psychology·2025
Same author

Corrigendum: Validation of the factor structure of the Experiences Questionnaire using Exploratory Graph Analysis.

Frontiers in psychology·2025

Related Experiment Video

Updated: Jan 31, 2026

The 5-Choice Serial Reaction Time Task: A Task of Attention and Impulse Control for Rodents
09:43

The 5-Choice Serial Reaction Time Task: A Task of Attention and Impulse Control for Rodents

Published on: August 10, 2014

47.0K

A reaction-time adjusted PSI method for estimating performance in the stop-signal task.

Lorenz Weise1, Maren Boecker1, Siegfried Gauggel1

  • 1Department of Medical Psychology and Medical Sociology, RWTH Aachen University, Aachen, Germany.

Plos One
|January 1, 2019
PubMed
Summary

The PSI adjusted method improves response inhibition measurement in the Stop-signal task by accounting for reaction time changes. This new method offers more accurate estimations of inhibitory control, especially when response times slow down.

More Related Videos

Measuring Delay Discounting in Humans Using an Adjusting Amount Task
07:47

Measuring Delay Discounting in Humans Using an Adjusting Amount Task

Published on: January 9, 2016

16.0K
The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
10:39

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

Published on: May 3, 2018

9.1K

Related Experiment Videos

Last Updated: Jan 31, 2026

The 5-Choice Serial Reaction Time Task: A Task of Attention and Impulse Control for Rodents
09:43

The 5-Choice Serial Reaction Time Task: A Task of Attention and Impulse Control for Rodents

Published on: August 10, 2014

47.0K
Measuring Delay Discounting in Humans Using an Adjusting Amount Task
07:47

Measuring Delay Discounting in Humans Using an Adjusting Amount Task

Published on: January 9, 2016

16.0K
The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
10:39

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

Published on: May 3, 2018

9.1K

Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Behavioral Science

Background:

  • The Stop-signal task is central to executive control research, measuring response inhibition.
  • Optimal delay selection methods like PSI aim to shorten task duration.
  • Go-response slowing is a common challenge in Stop-signal tasks.

Purpose of the Study:

  • To evaluate the efficacy of the PSI marginal method in the Stop-signal task.
  • To address the limitations of existing methods in handling Go-response slowing.
  • To introduce and validate the PSI adjusted method for improved accuracy.

Main Methods:

  • Behavioral experiments and simulations were conducted.
  • Compared PSI marginal, PSI adjusted, and traditional staircase methods.
  • Investigated performance under constant and linearly increasing reaction times.

Main Results:

  • The PSI marginal method struggles with Go-response slowing.
  • The PSI adjusted method effectively corrects for reaction time changes.
  • PSI adjusted method outperforms other methods when response slowing occurs.

Conclusions:

  • The PSI adjusted method provides efficient estimation of Stop-signal reaction times.
  • This method enhances the accuracy of response inhibition measurement.
  • It is particularly valuable in scenarios with dynamic reaction times.