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

Clearance Models: Compartment Models01:25

Clearance Models: Compartment Models

2.2K
Clearance measures drug elimination from the central compartment, including plasma and highly perfused organs like kidneys and liver. Its calculation varies depending on pharmacokinetic models and administration routes. The one-compartment model, for instance, portrays the pharmacokinetics of polar drugs such as aminoglycoside antibiotics administered intravenously and readily excreted in urine. In this case, clearance is influenced by the terminal rate constant (λz) and the total volume...
2.2K
Modeling in Therapy01:26

Modeling in Therapy

700
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
700
Models, Theories, and Laws01:16

Models, Theories, and Laws

9.7K
Scientists frequently use models to help them comprehend a specific collection of phenomena. In physics, a model is a condensed version of a physical system that is too complex to study thoroughly. One such example is the light wave model; unlike water waves, light waves are typically invisible to us. Nonetheless, it is helpful to think of light as being composed of waves, since investigations show that light behaves like water waves. Since it is impossible to visually see what is genuinely...
9.7K
Exponential Equations for Modeling Growth01:26

Exponential Equations for Modeling Growth

427
Exponential models are essential for describing rapid, multiplicative changes in natural systems, such as population growth. When a population doubles at regular intervals, the process can be modeled using a suitable base. For instance, a bacterial culture that doubles every three hours follows the model n(t)=n0⋅2t/3, where n(t) is the population at the time t.A more general model uses the natural base e, especially for continuous growth. This takes the form n(t)=n0⋅ert, where r is...
427
Clearance Models: Physiological Models01:09

Clearance Models: Physiological Models

410
Drug clearance is a critical pharmacokinetic process involving the irreversible removal of drugs from the body through various organs over a specified time period. Physiological models are indispensable in determining organ-specific clearance, defined by the proportion of the drug eliminated per unit of time from the organ's blood volume.
The organ's clearance rate depends on the blood flow to the organ and the extraction ratio (E). The extraction ratio describes the organ's...
410
Autobiographical Memory01:14

Autobiographical Memory

7.2K
Autobiographical memory is a unique type of episodic memory that involves recollecting personal life experiences. It allows individuals to remember significant events from their past, creating a narrative of their lives. One interesting phenomenon related to autobiographical memory is the reminiscence bump. This effect refers to the tendency of adults to recall more events from their second and third decades of life — typically between ages 10 to 30 — than from other periods. This...
7.2K

You might also read

Related Articles

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

Sort by
Same author

The role of goals, actions, and outcomes in the sense of agency.

Acta psychologica·2026
Same author

Opportunities and risks of artificial intelligence in patient portal messaging in primary care.

NPJ digital medicine·2025
Same author

Human verifications: Computable with truth values outside logic.

Proceedings of the National Academy of Sciences of the United States of America·2023
Same author

Validating and Refining Cognitive Process Models Using Probabilistic Graphical Models.

Topics in cognitive science·2022
Same author

Understanding Is a Process.

Frontiers in systems neuroscience·2022
Same author

Recursion in programs, thought, and language.

Psychonomic bulletin & review·2021
Same journal

Role of AQP4 in ameliorating heat stress-induced cellular injury in a cell line model through active heat acclimation.

Frontiers in human neuroscience·2026
Same journal

Correction: Cognitive state monitoring for neuroadaptive information visualization.

Frontiers in human neuroscience·2026
Same journal

The synthetic self-hypothesis: dopaminergic redirection through self-face recognition in stuttering therapy.

Frontiers in human neuroscience·2026
Same journal

A randomised, placebo-controlled, triple-blind clinical trial to investigate the efficacy of <i>Ginkgo biloba</i> extract EGb 761<sup>®</sup> in cognitive impairment associated with post COVID-19 syndrome-the EGb COCOS protocol.

Frontiers in human neuroscience·2026
Same journal

Examining the independent and combined effects of autistic and ADHD traits on multisensory integration.

Frontiers in human neuroscience·2026
Same journal

Prediction of hormone receptor status in breast cancer brain metastases using an MRI-based multimodal deep learning framework.

Frontiers in human neuroscience·2026
See all related articles

Related Experiment Video

Updated: Mar 30, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

11.2K

Episodes, events, and models.

Sangeet S Khemlani1, Anthony M Harrison1, J Gregory Trafton1

  • 1Naval Research Laboratory, Navy Center for Applied Research in Artificial Intelligence Washington, DC, USA.

Frontiers in Human Neuroscience
|November 19, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a new computational theory for event segmentation, explaining how the brain processes continuous information into discrete events. It proposes episodic markers to track changes and construct event models, advancing our understanding of cognitive science.

Keywords:
ACT-R/EMDS robotepisodic memoryevent segmentationmental modelstemporal reasoning

More Related Videos

Use of the EpiAirway Model for Characterizing Long-term Host-pathogen Interactions
08:12

Use of the EpiAirway Model for Characterizing Long-term Host-pathogen Interactions

Published on: September 2, 2011

12.2K
Examining the Characteristics of Episodic Memory using Event-related Potentials in Patients with Alzheimer's Disease
11:01

Examining the Characteristics of Episodic Memory using Event-related Potentials in Patients with Alzheimer's Disease

Published on: August 30, 2011

14.2K

Related Experiment Videos

Last Updated: Mar 30, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

11.2K
Use of the EpiAirway Model for Characterizing Long-term Host-pathogen Interactions
08:12

Use of the EpiAirway Model for Characterizing Long-term Host-pathogen Interactions

Published on: September 2, 2011

12.2K
Examining the Characteristics of Episodic Memory using Event-related Potentials in Patients with Alzheimer's Disease
11:01

Examining the Characteristics of Episodic Memory using Event-related Potentials in Patients with Alzheimer's Disease

Published on: August 30, 2011

14.2K

Area of Science:

  • Cognitive Science
  • Cognitive Neuroscience
  • Computational Theory

Background:

  • Event segmentation is crucial for understanding continuous perceptual information.
  • Existing theories suggest online event segmentation is automatic and generates mental simulations.
  • Gaps remain in understanding the precise mechanisms and computational underpinnings of event segmentation.

Purpose of the Study:

  • To propose a novel computational theory of event segmentation.
  • To explain how perceptual information is segmented into event representations.
  • To provide a unified computational account of event segmentation and temporal inference.

Main Methods:

  • Developed a novel computational theory integrating cognitive science and neuroscience findings.
  • Proposed two key principles: discrete episodic markers and constrained retrieval.
  • Created a computational implementation and a robotic extension to demonstrate the theory.

Main Results:

  • The theory provides a unified computational framework for event segmentation and temporal inference.
  • Demonstrated online event segmentation and event model construction through computational and robotic implementations.
  • Showcased how neuroimaging data can inform and constrain process-level theories of human reasoning.

Conclusions:

  • The proposed theory offers a novel computational explanation for event segmentation.
  • Episodic markers and constrained retrieval are key mechanisms for constructing event models.
  • This work bridges computational modeling, cognitive science, and neuroscience for understanding human reasoning.