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

Working Memory01:24

Working Memory

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 information.
Storage01:23

Storage

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 each...

You might also read

Related Articles

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

Sort by
Same author

Ginkgo biloba extract as a retinal protective agent: a systematic review of preclinical experiments.

Molecular biology reports·2026
Same author

Regulatory mechanisms of hypoxia-inducible factors on ferroptosis in ischemic stroke.

PeerJ·2026
Same author

The deubiquitinase USP35: from an oncogenic hub to a therapeutic target in human cancers.

Frontiers in oncology·2026
Same author

Qiju Granule alleviates retinal damage in a mouse model of age-related macular degeneration.

Frontiers in medicine·2026
Same author

Coupling sulfion oxidation with hydrogen evolution via an amorphous NiMo sulfide for energy and resource recovery.

Journal of colloid and interface science·2026
Same author

Rapid and simultaneous detection of <i>Escherichia coli and Klebsiella pneumoniae:</i> a novel dual recombinase polymerase amplification-clustered regularly interspaced short palindromic repeats-Cas12a method.

Microbiology spectrum·2026
Same journal

Adaptive memristor-based LIF neuron circuit for energy efficient SNN crossbar array.

Cognitive neurodynamics·2026
Same journal

Dynamic bi-domain discriminator adversarial network for EEG emotion recognition.

Cognitive neurodynamics·2026
Same journal

Olfactory Perception and Neural Rhythms: A Simulation-Based EEG Analysis Using Power Spectral Density FeaturesOlfactory perception and neural rhythms: a simulation-based eeg analysis using power spectral density features.

Cognitive neurodynamics·2026
Same journal

An event-related potentials account of brain predictive coding.

Cognitive neurodynamics·2026
Same journal

A recurrent neural network model for a decision-making task based on sequential evidence accumulation.

Cognitive neurodynamics·2026
Same journal

Synaptic neurotransmitter concentration modulation during learning in bio-inspired spiking neural network.

Cognitive neurodynamics·2026
See all related articles

Related Experiment Video

Updated: May 27, 2026

An Appetitive Spatial Working Memory Task for Mice in a Semi-Automated 8-Arm Radial Maze, Reducing Fearful Memory Association in the Maze
14:24

An Appetitive Spatial Working Memory Task for Mice in a Semi-Automated 8-Arm Radial Maze, Reducing Fearful Memory Association in the Maze

Published on: July 29, 2025

The modeling and simulation of visuospatial working memory.

Lina Liang1, Rubin Wang, Zhikang Zhang

  • 1Institute for Cognitive Neurodynamics, School of Information Science and Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai, People's Republic of China.

Cognitive Neurodynamics
|December 2, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a network model for working memory, integrating calcium (Ca2+) subsystem bistability with neural networks. The model demonstrates robust persistent activity and noise resistance, crucial for effective working memory.

Keywords:
BistabilityCalcium signalingComputational modelWorking memory

More Related Videos

Assessing Working Memory in Children: The Comprehensive Assessment Battery for Children &#8211; 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

Related Experiment Videos

Last Updated: May 27, 2026

An Appetitive Spatial Working Memory Task for Mice in a Semi-Automated 8-Arm Radial Maze, Reducing Fearful Memory Association in the Maze
14:24

An Appetitive Spatial Working Memory Task for Mice in a Semi-Automated 8-Arm Radial Maze, Reducing Fearful Memory Association in the Maze

Published on: July 29, 2025

Assessing Working Memory in Children: The Comprehensive Assessment Battery for Children &#8211; 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

Area of Science:

  • Computational neuroscience
  • Cognitive neuroscience

Background:

  • Previous models combined cellular bistability or calcium (Ca2+) subsystems for working memory.
  • Recurrent network architecture and intrinsic cellular properties are key to neocortical working memory.

Purpose of the Study:

  • To expand on existing network models by integrating Ca(2+) subsystem-induced bistability with traditional firing-rate networks.
  • To investigate the role of Ca(2+) concentration in modulating synaptic efficacy for working memory.

Main Methods:

  • Developed a computational network model integrating firing-rate dynamics with Ca(2+) subsystem bistability.
  • Modified synaptic weights and proposed that Ca(2+) affects synaptic input efficacy, not external cue input.
  • Simulated network responses to transient stimuli and evaluated working memory performance under noisy conditions.

Main Results:

  • The model successfully maintained persistent neural activity in response to brief transient stimuli.
  • Working memory performance demonstrated resilience against noise and distracting stimuli when the Ca(2+) subsystem was bistable.
  • Ca(2+) concentration was found to enhance synaptic input efficacy.

Conclusions:

  • The integrated network model provides a viable mechanism for persistent activity in working memory.
  • Bistability in the Ca(2+) subsystem is critical for robust working memory function and noise resistance.
  • This model offers a refined understanding of the interplay between cellular mechanisms and network dynamics in working memory.