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

Complementary molecular models of learning and memory.

M Conrad

    Bio Systems
    |December 1, 1976
    PubMed
    Summary
    This summary is machine-generated.

    This study presents a computational model of brain function, detailing two learning types: modification-based and memory-based. The model integrates molecular information processing for brain system and memory space functions.

    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

    ERPs reveal an iconic relation between sublexical phonology and affective meaning.

    Cognition·2022
    Same author

    Adverse events during nursing care procedure in intensive care unit: The PREVENIR study.

    Intensive & critical care nursing·2020
    Same author

    Correction to: Functional outcomes in adult patients with herpes simplex encephalitis admitted to the ICU: a multicenter cohort study.

    Intensive care medicine·2019
    Same author

    Revealing interfacial disorder at the growth-front of thick many-layer epitaxial graphene on SiC: a complementary neutron and X-ray scattering investigation.

    Nanoscale·2019
    Same author

    Functional outcomes in adult patients with herpes simplex encephalitis admitted to the ICU: a multicenter cohort study.

    Intensive care medicine·2019
    Same author

    Corrigendum to "European contribution to the study of ROS: A summary of the findings and prospects for the future from the COST action BM1203 (EU-ROS)" [Redox Biol. 13 (2017) 94-162].

    Redox biology·2017
    Same journal

    Ruliological Resilience: Pattern Restoration and Robustness in Wolfram Patterns. A Basis for Regeneration, Not Just in Cone Shells?

    Bio Systems·2026
    Same journal

    The quantum-to-classical transducer: A thermodynamic and quantum mechanical framework for the emergence of bioenergetics.

    Bio Systems·2026
    Same journal

    Forward-backward gene expression binarization for boolean state inference over a known regulatory network.

    Bio Systems·2026
    Same journal

    Partial-label metric ceilings for evaluating gene regulatory networks inferred from single-cell foundation models.

    Bio Systems·2026
    Same journal

    The impedance mismatch theory: A non-equilibrium thermodynamic framework for a shared energetic stress pathway in neurodegeneration.

    Bio Systems·2026
    Same journal

    Immune signal-status misclassification: A theoretical framework for biological status assignment and failed status resolution.

    Bio Systems·2026
    See all related articles

    Area of Science:

    • Neuroscience
    • Computational Neuroscience
    • Molecular Biology

    Background:

    • Brain function is complex, involving information processing and learning.
    • Existing models may not fully capture the molecular underpinnings of cognitive processes.

    Purpose of the Study:

    • To propose a formal, constructive model of brain function based on molecular information processing.
    • To describe two distinct learning mechanisms: modification-based and memory-based learning.

    Main Methods:

    • Development of two interfaced submodels: one for the finite system and one for the memory space.
    • Modeling the finite system using enzyme-controlled neuronal networks for modification-based learning.
    • Modeling the memory space using dendritic receptor conformation-controlled neuronal networks for memory-based learning.

    Related Experiment Videos

    Main Results:

    • The model integrates molecular principles for both system modification and memory assimilation/retrieval.
    • Modification-based learning is analogous to natural evolution and antibody synthesis.
    • Memory-based learning involves neuronal sensitization for pattern reconstruction.

    Conclusions:

    • The proposed model provides a framework for understanding brain function at a molecular level.
    • The model generates testable predictions across biochemical, anatomical, physiological, and psychological domains.
    • This approach offers insights into the mechanisms of learning and memory in the brain.