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

Neural modeling in cerebral dynamics.

J Mira1, A E Delgado

  • 1Departamento de Inteligencia Artificial, Facultad de Ciencias y ETS Ing Informática, UNED, Madrid, Spain. jmira@dia.uned.es

Bio Systems
|October 22, 2003
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

Promoting second victims' intervention support programs.

Journal of healthcare quality research·2024
Same author

Effects of endurance cycling training on neuromuscular fatigue in healthy active men. Part II: Corticospinal excitability and voluntary activation.

European journal of applied physiology·2018
Same author

Effects of endurance training on neuromuscular fatigue in healthy active men. Part I: Strength loss and muscle fatigue.

European journal of applied physiology·2018
Same author

Beam experiments with the Grenoble test electron cyclotron resonance ion source at iThemba LABS.

The Review of scientific instruments·2016
Same author

Magnetic Ordering-Induced Multiferroic Behavior in [CH3NH3][Co(HCOO)3] Metal-Organic Framework.

Journal of the American Chemical Society·2015
Same author

Room-temperature polar order in [NH4][Cd(HCOO)3]--a hybrid inorganic-organic compound with a unique perovskite architecture.

Inorganic chemistry·2015
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

This study proposes new computational tools for neural modeling. It suggests cerebral dynamics involve neurophysiological symbols, requiring intermediate-level descriptions for accurate cortical processing representation.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Cognitive Science

Background:

  • Current neural modeling is limited by mathematical formalisms and insufficient descriptive languages.
  • Existing models struggle to capture genuine aspects of cortical behavior and cooperative processes.
  • There's a recognized need for novel conceptual and formal tools in neural modeling.

Purpose of the Study:

  • To explore requirements for formal tools adequate for modeling neural information processing at the cortical level.
  • To propose a new framework for understanding cerebral dynamics based on neuropsychological findings.
  • To bridge the gap between physical machine descriptions and knowledge-level understanding in neural systems.

Main Methods:

  • Utilizing neuropsychological findings on residual function after brain lesions in animals and humans.

Related Experiment Videos

  • Drawing inspiration from computational theories, particularly the work of Newell and Marr.
  • Conjecturing cerebral dynamics as a dynamics of neurophysiological symbols.

    • Main Results:

    • Identified limitations in current mathematical and linguistic approaches to neural modeling.
    • Proposed that cerebral dynamics can be conceptualized as a symbolic process.
    • Suggested the necessity of intermediate-level descriptions, akin to programming languages, for neural assemblies.

    Conclusions:

    • New conceptual and formal tools are essential for accurately modeling cortical dynamics.
    • Cerebral dynamics may be best understood as a symbolic process requiring intermediate-level computational descriptions.
    • This approach offers a pathway to better represent cooperative processes in neural information processing.