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 Experiment Videos

Modulation of function and gated learning in a network memory.

L F Abbott1

  • 1Physics Department, Brandeis University, Waltham, MA 02254.

Proceedings of the National Academy of Sciences of the United States of America
|December 1, 1990
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Neuronal calcium spikes enable vector inversion in the Drosophila brain.

Cell·2025
Same author

Transfer of graded information through gated receptivity to widely broadcast signals.

bioRxiv : the preprint server for biology·2025
Same author

Motor cortex flexibly deploys a high-dimensional repertoire of subskills.

bioRxiv : the preprint server for biology·2025
Same author

Associative synaptic plasticity creates dynamic persistent activity.

bioRxiv : the preprint server for biology·2025
Same author

Connectome analysis of a cerebellum-like circuit for sensory prediction.

bioRxiv : the preprint server for biology·2025
Same author

An end-to-end model of active electrosensation.

Current biology : CB·2025
Same journal

Tau protein as a regulator of mitochondrial function and dynamics.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

A scalable, dividing cell model for the robust propagation and quantification of human sporadic Creutzfeldt-Jakob disease prions.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Epigenetic regulation of mesenchymal BMP signaling directs postnatal organ innervation.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Single-shot wide-field biochemical imaging at 1 kHz frame rate.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Morphogenesis and topological evolution of a frustrated nematic liquid crystal under confinement.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

B cell-intrinsic CXCR3 drives efficient generation of ectopic pulmonary germinal center responses to influenza A virus infection.

Proceedings of the National Academy of Sciences of the United States of America·2026
See all related articles

This study explores how altering cell dynamics in a model neural network enables switching between long-term associative memory and short-term latching memory. This modulation offers a mechanism for controlling learning initiation and termination.

Area of Science:

  • Computational neuroscience
  • Artificial neural networks
  • Cellular dynamics

Background:

  • Understanding memory and learning mechanisms is crucial in neuroscience.
  • Neural networks offer a framework for modeling complex cognitive functions.
  • Intrinsic cellular dynamics play a significant role in neural computation.

Purpose of the Study:

  • To investigate how intrinsic cellular dynamics influence the operational modes of a model neural network.
  • To explore the potential of modulating these dynamics for memory and learning control.
  • To establish a link between cellular properties and network-level memory functions.

Main Methods:

  • Development of a model neural network with realistic intrinsic cellular dynamics.
  • Systematic modulation of component cell intrinsic characteristics.

Related Experiment Videos

  • Analysis of network behavior under different intrinsic dynamic conditions.

    • Main Results:

    • The model network exhibited two distinct operational modes based on intrinsic cellular characteristics.
    • One mode demonstrated selective, long-term associative memory capabilities.
    • The other mode functioned as a nonselective, short-term latching memory.

    Conclusions:

    • Modulation of intrinsic cellular dynamics is a viable mechanism for switching neural network memory modes.
    • This switching capability can be leveraged to initiate and terminate learning processes.
    • The findings provide insights into the cellular basis of learning and memory control.