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 Integrated Rate Law: The Dependence of Concentration on Time02:39

The Integrated Rate Law: The Dependence of Concentration on Time

41.5K
While the differential rate law relates the rate and concentrations of reactants, a second form of rate law called the integrated rate law relates concentrations of reactants and time. Integrated rate laws can be used to determine the amount of reactant or product present after a period of time or to estimate the time required for a reaction to proceed to a certain extent. For example, an integrated rate law helps determine the length of time a radioactive material must be stored for its...
41.5K
Short-distance Transport of Resources02:12

Short-distance Transport of Resources

17.7K
Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
17.7K
Growth Models with Integration: Problem Solving01:27

Growth Models with Integration: Problem Solving

55
In population modeling, integration provides a systematic way to determine accumulated quantities from known rates of change. One such application arises in ecology, where the total weight of a fish population in a body of water is referred to as its biomass. When the rate of growth of this biomass is known as a function of time, calculus can be used to determine the total biomass at a future date.Growth Rate and Biomass FunctionLet the growth rate of the fish population be represented by a...
55
System of Memory01:23

System of Memory

7.4K
Memory is categorized into three major systems: sensory memory, short-term memory (STM), and long-term memory (LTM). These systems differ in their capacity and the duration for which they can hold information. Sensory memory captures raw sensory input from the environment, holding it for just a few seconds or less. For example, on hearing a brief, loud sound, like a car horn honking, the sound seems to linger in the mind for a moment even after it stops. This is an instance of sensory memory...
7.4K
Working Memory01:24

Working Memory

873
Working memory refers to a combination of components, including short-term memory and attention, that allow an individual to hold information temporarily as we perform cognitive tasks. It is an essential cognitive function that enables the execution of complex tasks such as problem-solving, comprehension, and reasoning. Unlike short-term memory, which simply involves the storage of information for a brief period, working memory involves the active manipulation and processing of this...
873
Integration by Parts: Indefinite Integrals01:26

Integration by Parts: Indefinite Integrals

171
Integration by parts is a fundamental technique in calculus for evaluating integrals involving the product of two functions. It is particularly useful when direct integration is not feasible. The method is based on the product rule for differentiation, which states that the derivative of a product equals the derivative of the first function times the second, plus the first function times the derivative of the second. By integrating this identity and rearranging terms, the integration by parts...
171

You might also read

Related Articles

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

Sort by
Same author

Low prevalence targets are primarily missed due to mind wandering.

Attention, perception & psychophysics·2026
Same author

Immune response and intergroup bias: Vaccine-induced increases in cytokine activity are associated with worse evaluations of resume for Latina job applicant.

Brain, behavior, and immunity·2024
Same author

Predictions of task using neural modeling.

Frontiers in neuroergonomics·2024
Same author

Chinese holistic processing: Evidence from cognitive mental architecture using Systems Factorial Technology.

Heliyon·2023
Same author

Visual word processing efficiency for Chinese characters and English words.

Acta psychologica·2023
Same author

Human Performance in Competitive and Collaborative Human-Machine Teams.

Topics in cognitive science·2023
Same journal

Limits to Language Prediction: Findings From Diverse Populations.

Topics in cognitive science·2026
Same journal

There Is More Than Meets the Eye: The Dual Role of Perception in Shaping Color Lexicons.

Topics in cognitive science·2026
Same journal

Inference and Imagination.

Topics in cognitive science·2026
Same journal

Gesture Use Across Different Concepts: Focusing on Cross-Linguistic Diversity.

Topics in cognitive science·2026
Same journal

Exploring Amazonian Cognitive Diversity at Chana Research Station.

Topics in cognitive science·2026
Same journal

Do (We Think That) Plants Have Agency?

Topics in cognitive science·2026
See all related articles

Related Experiment Video

Updated: Jan 31, 2026

Experimental Methods for Investigation of Shape Memory Based Elastocaloric Cooling Processes and Model Validation
11:11

Experimental Methods for Investigation of Shape Memory Based Elastocaloric Cooling Processes and Model Validation

Published on: May 2, 2016

11.6K

An Integrated Working Memory Model for Time-Based Resource-Sharing.

Joseph J Glavan1, Joseph W Houpt1

  • 1Department of Psychology, Wright State University.

Topics in Cognitive Science
|December 29, 2018
PubMed
Summary
This summary is machine-generated.

The time-based resource-sharing (TBRS) model shows working memory capacity linearly increases with cognitive load (CL). Articulatory rehearsal may lessen this effect, improving performance under high CL. This research advances cognitive architecture understanding.

Keywords:
ACT-RArticulatory rehearsalAttentional refreshingComputational modelingTime-based resource-sharingWorking memory

More Related Videos

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

15.8K
A Real-world What-Where-When Memory Test
09:13

A Real-world What-Where-When Memory Test

Published on: May 16, 2017

12.1K

Related Experiment Videos

Last Updated: Jan 31, 2026

Experimental Methods for Investigation of Shape Memory Based Elastocaloric Cooling Processes and Model Validation
11:11

Experimental Methods for Investigation of Shape Memory Based Elastocaloric Cooling Processes and Model Validation

Published on: May 2, 2016

11.6K
Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

15.8K
A Real-world What-Where-When Memory Test
09:13

A Real-world What-Where-When Memory Test

Published on: May 16, 2017

12.1K

Area of Science:

  • Cognitive Psychology
  • Computational Neuroscience
  • Cognitive Architecture

Background:

  • The time-based resource-sharing (TBRS) model proposes working memory functions as a serial, attentional refreshing mechanism.
  • Executive attention dynamically allocates resources between memory maintenance and processing external information.

Purpose of the Study:

  • To integrate the TBRS model into the ACT-R cognitive architecture for empirical testing.
  • To extend the TBRS model with articulatory rehearsal and investigate its impact on working memory capacity.
  • To predict cognitive performance across a wider range of cognitive load (CL) than previously studied.

Main Methods:

  • Integration of the TBRS model within the ACT-R cognitive architecture.
  • Simulation of dual-task performance to compare model predictions with human accuracy and response time data.
  • Extension of the model to incorporate articulatory rehearsal as a distinct mechanism.

Main Results:

  • Simulations supported the hypothesis that working memory capacity is a linear function of CL.
  • The model predicted that articulatory rehearsal mitigates the negative impact of increased CL on working memory performance.
  • The model successfully predicted performance across an extended range of CL.

Conclusions:

  • The TBRS model, when integrated with ACT-R, provides a viable framework for understanding working memory dynamics.
  • Articulatory rehearsal appears to be a significant factor in maintaining working memory performance under high cognitive load.
  • This extended model offers novel predictions for cognitive load effects in computational cognitive science.