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

Context-dependent associations in linear distributed memories.

E Mizraji

    Bulletin of Mathematical Biology
    |January 1, 1989
    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

    A cognitive architecture that solves a problem stated by Minsky.

    IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2008
    Same author

    Memories in context.

    Bio Systems·1999
    Same author

    Cooperativity: a unified view.

    Biochimica et biophysica acta·1997
    Same author

    Multiplicative contexts in associative memories.

    Bio Systems·1994
    Same author

    String analysis and energy minimization in the partition of DNA sequences.

    Journal of molecular biology·1989
    Same author

    Time delays in metabolic control systems.

    Bio Systems·1988
    Same journal

    Effects of Seasonal Births and Predation on Disease Spread.

    Bulletin of mathematical biology·2026
    Same journal

    Identifiability, Sensitivity, and Genetic Algorithms in Bacterial Biofilm Selection Models.

    Bulletin of mathematical biology·2026
    Same journal

    Slow Evolution Towards Generalism in a Model of Variable Dietary Range.

    Bulletin of mathematical biology·2026
    Same journal

    CBINN: Cancer Biology-Informed Neural Network for Unknown Parameter Estimation and Missing Physics Identification.

    Bulletin of mathematical biology·2026
    Same journal

    A Cost-Sensitive Behavioral Modeling Analysis of the Early Identification and Control of Infectious Diseases.

    Bulletin of mathematical biology·2026
    Same journal

    Tracking Dynamics of Superspreading Through Contacts, Exposures, and Transmissions in Edge-Based Network Epidemics.

    Bulletin of mathematical biology·2026
    See all related articles

    This study introduces a novel two-neural network system for context-dependent memory recall. This method enhances feature extraction, quasi-logical operations, and temporal sequence structuring in artificial cognitive systems.

    Area of Science:

    • Computational Neuroscience
    • Artificial Intelligence

    Background:

    • Linear distributed memory systems often lack context-dependent response.
    • Conditioning memory responses to variable contexts is crucial for cognitive functions.

    Purpose of the Study:

    • To present a novel method for conditioning linear distributed memory responses using a two-neural network system.
    • To analyze the system's capabilities in feature extraction, quasi-logical operations, and temporal sequence structuring.

    Main Methods:

    • Utilizing a two-neural network architecture.
    • The first network computes the Kronecker product of input and context vectors.
    • The second network implements a linear associative memory.

    Main Results:

    Related Experiment Videos

    • Demonstrated capacity for conditional feature extraction from complex perceptual inputs.
    • Successfully performed quasi-logical operations, including "exclusive-or".
    • Showcased ability to structure temporal sequences with context-conditioned access.

    Conclusions:

    • The developed system offers adaptable solutions for context-dependent memory.
    • Highlights the significance of arbitrary context establishment for biological cognitive system evolution.