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

System of Memory01:23

System of Memory

7.3K
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...
7.3K
Working Memory01:24

Working Memory

860
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...
860
Long-Term Memory01:18

Long-Term Memory

670
Long-term memory is a relatively permanent type of memory, capable of storing vast amounts of information over extended periods. Its storage capacity is generally considered unlimited.
Long-term memory can be categorized into two primary types: explicit and implicit memory. Explicit memory, also known as declarative memory, involves the conscious recollection of information that we deliberately try to remember, recall, and articulate. This type of memory encompasses specific facts, events, and...
670
Traumatic Memory01:20

Traumatic Memory

569
Emotionally traumatic events often lead to memories that are exceptionally vivid and enduring, sometimes persisting with remarkable clarity throughout an individual's life. A classic example of this phenomenon is a person who survives a car accident. Even years later, they may recall every detail of the event with startling accuracy — the screeching of the tires, the jarring impact, and the acrid smell of burning rubber. Such vividness contrasts sharply with how an individual...
569
Repressed Memory01:16

Repressed Memory

515
Repressed memories are a psychological phenomenon where memories of traumatic events are unconsciously blocked from a person's awareness. This process occurs as a defense mechanism, protecting the mind from the emotional impact of distressing or painful experiences. For example, a person who has experienced childhood trauma may grow up with no conscious recollection of the event. In such cases, the memories are thought to be buried deep within the subconscious, inaccessible to the conscious...
515
Immunological Memory01:23

Immunological Memory

16.8K
Immunological memory, a pivotal pillar of the adaptive immune system, is responsible for the body's ability to remember and respond more swiftly and effectively to previously encountered pathogens. This remarkable feature is what makes vaccines so effective in preventing diseases.
What is Immunological Memory?
Immunological memory is an integral function of the immune system that allows it to recognize and react more rapidly and effectively to pathogens previously encountered. This feature...
16.8K

You might also read

Related Articles

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

Sort by
Same author

The association between autistic traits and trajectories of anxiety in middle-aged and older adults: an 8-year growth mixture model analysis.

Nature. Mental health·2026
Same author

Brain dynamics of attentional, default-mode and limbic networks are disrupted at rest in post-COVID-19 syndrome.

Brain, behavior, & immunity - health·2026
Same author

Cross-sectional and longitudinal associations of self-perceptions of aging with physical activity in multimorbidity: The role of depressive symptoms.

Archives of gerontology and geriatrics·2026
Same author

Intrinsic cortical geometry is associated with individual differences in local functional organization.

Research square·2026
Same author

Opportunities and pitfalls of data contextualization in neuroimaging.

Nature reviews. Neuroscience·2026
Same author

Individual differences in alexithymia modulate cognition-emotion interactions in daily life ongoing experiences.

Communications psychology·2026
Same journal

Chlorinated VSLSs Surpass HCFCs in CFC-11-Equivalent Emissions for Ozone Layer Depletion in China.

Nature communications·2026
Same journal

Author Correction: Charge transfer in triphenylamine-tetrazine covalent organic frameworks for solar-driven hydrogen peroxide production.

Nature communications·2026
Same journal

Vegetation browning patterns under compound soil and atmospheric dryness in northern permafrost ecosystems.

Nature communications·2026
Same journal

Voltage imaging of CA1 pyramidal cells and SST+ interneurons reveals stability and plasticity mechanisms of spatial firing.

Nature communications·2026
Same journal

Radical-omics reveals the hydrogen-abstraction pathway of isoprene oxidation.

Nature communications·2026
Same journal

Toughening elastomer via sequentially activated multi-pathway energy dissipation.

Nature communications·2026
See all related articles

Related Experiment Video

Updated: Jan 28, 2026

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

Dynamic network coding of working-memory domains and working-memory processes.

Eyal Soreq1, Robert Leech2, Adam Hampshire3

  • 1The Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Imperial College London, London, W12 0NN, UK. e.soreq14@imperial.ac.uk.

Nature Communications
|February 27, 2019
PubMed
Summary
This summary is machine-generated.

This study reveals that working memory (WM) involves dynamic brain network coding, not fixed brain area mapping. Machine learning decodes WM aspects from network activity and connectivity patterns.

More Related Videos

Assessing Working Memory in Children: The Comprehensive Assessment Battery for Children – Working Memory (CABC-WM)
09:05

Assessing Working Memory in Children: The Comprehensive Assessment Battery for Children – Working Memory (CABC-WM)

Published on: June 12, 2017

30.8K
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

15.7K

Related Experiment Videos

Last Updated: Jan 28, 2026

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
Assessing Working Memory in Children: The Comprehensive Assessment Battery for Children – Working Memory (CABC-WM)
09:05

Assessing Working Memory in Children: The Comprehensive Assessment Battery for Children – Working Memory (CABC-WM)

Published on: June 12, 2017

30.8K
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

15.7K

Area of Science:

  • Cognitive Neuroscience
  • Network Science
  • Neuroimaging

Background:

  • Traditional views map working memory (WM) aspects to distinct brain regions.
  • Network science theory proposes distributed processing mechanisms for WM.
  • Reconciling these perspectives is crucial for understanding brain function.

Purpose of the Study:

  • To investigate dynamic coding of WM aspects in the human brain using machine learning.
  • To challenge the classic notion of mutually exclusive brain area mappings for WM.
  • To explore how network activity and connectivity underlie diverse WM demands.

Main Methods:

  • Applied machine learning techniques to fMRI data.
  • Utilized cross-validation across independent fMRI studies.
  • Analyzed patterns of network activity and functional connectivity.

Main Results:

  • Accurately classified stimulus domains (spatial, number, fractal) and WM processes (encode, maintain, probe) from brain network data.
  • Demonstrated that WM aspects are dynamically coded within network activity and connectivity, even in multiple-demand regions.
  • Found that connectivity patterns are key for classification and refine with increasing maintenance load.

Conclusions:

  • Working memory relies on a network-coding mechanism where brain regions adopt different connectivity states to support diverse demands.
  • This challenges the classic view of fixed, exclusive brain region specializations for WM.
  • Dynamic network connectivity provides a more accurate basis for understanding WM processes.