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

Pattern association and retrieval in a continuous neural system

H J Chang1, J Ghosh

  • 1Department of Electrical and Computer Engineering, University of Texas, Austin 78712.

Biological Cybernetics
|January 1, 1993
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

[Association between sex hormones and cognitive impairment in older adults aged 65 years and above in 18 longevity areas in China].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2026
Same author

[Association between urinary arsenic levels and neurological mortality in older adults aged 60 years and above in China].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2026
Same author

Isolation, characterization and evaluation of growth kinetics and multilineage differentiation of ovine ovarian mesenchymal stem cells.

Theriogenology·2026
Same author

First results from testing of the full ITER hard x-ray monitor prototype on the ADITYA Upgrade tokamak.

The Review of scientific instruments·2026
Same author

Capivasertib plus paclitaxel as first-line treatment for metastatic triple-negative breast cancer: results from the randomised, global phase III CAPItello-290 trial.

Annals of oncology : official journal of the European Society for Medical Oncology·2025
Same author

Enhancing marine magnetic anomaly interpretation with anisotropic diffusion and deep transfer learning.

Scientific reports·2025
Same journal

Harmonic memory in phasor neural networks.

Biological cybernetics·2026
Same journal

Correction: Decreased spinal inhibition leads to undiversified locomotor patterns.

Biological cybernetics·2026
Same journal

Foundational issues of network models in biology.

Biological cybernetics·2026
Same journal

Dynamical mechanisms for coordinating long-term working memory based on the precision of spike-timing in cortical neurons.

Biological cybernetics·2026
Same journal

Distinct dopaminergic spike-timing-dependent plasticity rules are suited to different functional roles.

Biological cybernetics·2026
Same journal

Fluctuation-response relations for a two-stage population of spiking neurons stimulated by common noise.

Biological cybernetics·2026
See all related articles

This study models large neural networks using mathematical approximations for pattern storage and retrieval. The proposed visual cortex model demonstrates invariant pattern association, robust to noise and transformations.

Area of Science:

  • Computational Neuroscience
  • Mathematical Biology
  • Theoretical Physics

Background:

  • Understanding large neural systems requires robust mathematical models.
  • Approximating complex neuronal nonlinearities is crucial for theoretical analysis.
  • Associative memory in neural networks is a key area of research.

Purpose of the Study:

  • To develop a mathematical framework for analyzing large neural systems in the continuum limit.
  • To investigate the storage and retrieval of spatio-temporal patterns in neural networks.
  • To propose and characterize a novel visual cortex model with invariant pattern association.

Main Methods:

  • Approximating neuronal input-output nonlinearity with three linearized sections.
  • Employing space-time field equation analogies for pattern storage.

Related Experiment Videos

  • Deriving a noise-reducing equation for pattern retrieval.
  • Analyzing pattern storage capacity and retrieval conditions.

    • Main Results:

    • A mathematical characterization of large neural systems was achieved.
    • Conditions for retrievable noisy patterns were identified.
    • A visual cortex model was proposed with exact characterization of storable patterns.
    • The model demonstrated pattern association invariant to scaling, translation, rotation, and reflection.

    Conclusions:

    • The developed mathematical model provides a framework for understanding large neural systems.
    • The proposed visual cortex model exhibits robust and invariant pattern association capabilities.
    • This work contributes to the theoretical understanding of neural computation and memory.