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

False Memories01:18

False Memories

573
False memories represent a cognitive distortion in which individuals recall events that did not happen, or remember them in an altered form. This phenomenon highlights the brain's constructive nature in processing and recalling memories, emphasizing that memory is not a perfect representation of past events but rather a dynamic reconstruction influenced by various factors.
One primary source of false memories is misattribution, where individuals incorrectly associate external information...
573
Explicit Memories01:27

Explicit Memories

527
Explicit memories, also known as declarative memories, are consciously remembered, recalled, and reported. Studying for a chemistry exam involves material that will become part of explicit memory. There are two types of explicit memory: episodic and semantic.
Episodic memory contains information about personally experienced events and is reported as a story. An example of episodic memory is recalling a birthday celebration. This type of memory includes the what, where, and when of an event, as...
527
Storage01:23

Storage

452
A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
452
Implicit Memories01:24

Implicit Memories

536
Implicit memories, also known as non-declarative memories, are long-term memories that function outside of conscious awareness. These memories influence behavior and skills without explicit knowledge. This type of memory is evident in tasks like playing tennis, snowboarding, and texting. Implicit memory has three subsystems: procedural memory, conditioning, and priming. This type of memory is essential in various activities, from everyday tasks to specialized skills.
One key aspect of implicit...
536
Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

2.2K
Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or...
2.2K
Eyewitness Memory01:22

Eyewitness Memory

553
Eyewitness memory refers to the recollection of events by someone who has directly witnessed them, often serving as critical evidence in legal settings. This type of memory is commonly used in criminal cases where a witness describes details like a suspect's appearance, clothing, or behavior during a crime. However, despite its perceived reliability, eyewitness memory is prone to significant errors.
One such error is memory distortion, which occurs because human memory does not function...
553

You might also read

Related Articles

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

Sort by
Same author

Methadone Maintenance Treatment vs. Long-Term Abstinence Without Opioid Agonist: Epigenome-Wide Study of DNA Methylation.

Epigenomes·2026
Same author

A self-filtering liquid acoustic sensor for voice recognition.

Nature electronics·2026
Same author

Changes in Blood DNA CpG Methylation Levels in Response to Methadone Maintenance Treatment: Epigenome-Wide Longitudinal Study.

Epigenomes·2026
Same author

Diverse biophysical and molecular mechanisms drive phytoplankton sinking in response to starvation.

PLoS biology·2025
Same author

Kinase interaction analysis predicts actions of the WNK-OSR1/SPAK pathway.

Communications biology·2025
Same author

Biophysical and molecular mechanisms responsible for phytoplankton sinking in response to starvation.

bioRxiv : the preprint server for biology·2025

Related Experiment Video

Updated: Mar 9, 2026

The Deese-Roediger-McDermott DRM Task: A Simple Cognitive Paradigm to Investigate False Memories in the Laboratory
07:26

The Deese-Roediger-McDermott DRM Task: A Simple Cognitive Paradigm to Investigate False Memories in the Laboratory

Published on: January 31, 2017

40.3K

Towards Modeling False Memory With Computational Knowledge Bases.

Justin Li1, Emma Kohanyi1

  • 1Cognitive Science Department, Occidental College.

Topics in Cognitive Science
|December 22, 2016
PubMed
Summary

Computational knowledge bases struggle to fully represent human common-sense knowledge for cognitive memory models. Improvements in knowledge base content and algorithms are needed for effective cognitive modeling.

Keywords:
Cognitive architectureDBpediaFalse memoryKnowledge baseSpreading activationWordNet

More Related Videos

Using a Classroom-Based Deese Roediger McDermott Paradigm to Assess the Effects of Imagery on False Memories
08:53

Using a Classroom-Based Deese Roediger McDermott Paradigm to Assess the Effects of Imagery on False Memories

Published on: November 14, 2018

10.3K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.7K

Related Experiment Videos

Last Updated: Mar 9, 2026

The Deese-Roediger-McDermott DRM Task: A Simple Cognitive Paradigm to Investigate False Memories in the Laboratory
07:26

The Deese-Roediger-McDermott DRM Task: A Simple Cognitive Paradigm to Investigate False Memories in the Laboratory

Published on: January 31, 2017

40.3K
Using a Classroom-Based Deese Roediger McDermott Paradigm to Assess the Effects of Imagery on False Memories
08:53

Using a Classroom-Based Deese Roediger McDermott Paradigm to Assess the Effects of Imagery on False Memories

Published on: November 14, 2018

10.3K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.7K

Area of Science:

  • Cognitive Psychology
  • Computational Linguistics
  • Artificial Intelligence

Background:

  • Realistic cognitive models of memory require vast common-sense knowledge.
  • Large computational knowledge bases (e.g., WordNet, DBpedia) offer potential but present challenges.

Purpose of the Study:

  • To explore the difficulties of using large knowledge bases for cognitive modeling.
  • To evaluate the effectiveness of semantic network spreading activation models in capturing human associations.

Main Methods:

  • Utilized a semantic network spreading activation model.
  • Applied the model to the Deese-Roediger-McDermott false memory task.
  • Conducted three experiments to analyze knowledge base performance.

Main Results:

  • Computational knowledge bases capture only a subset of human associations.
  • Irrelevant information in knowledge bases introduces noise, hindering efficient modeling.
  • The model's performance was limited by the scope and accuracy of the knowledge bases.

Conclusions:

  • Current large knowledge bases are insufficient for comprehensive cognitive modeling of memory.
  • Knowledge base content requires augmentation to better reflect human common-sense knowledge.
  • Algorithmic refinement and optimization are crucial for integrating large knowledge bases into cognitive models.