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

A zonal model of cortical functions.

H S Green1, T Triffet

  • 1Department of Physics and Mathematical Physics, University of Adelaide, South Australia.

Journal of Theoretical Biology
|January 9, 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 general kinetic theory of liquids; dynamical properties.

Proceedings of the Royal Society of London. Series A, Mathematical and physical sciences·2010
Same author

A general kinetic theory of liquids; quantum mechanics of fluids.

Proceedings of the Royal Society of London. Series A, Mathematical and physical sciences·2010
Same author

A general kinetic theory of liquids; the molecular distribution functions.

Proceedings of the Royal Society of London. Series A, Mathematical and physical sciences·2010
Same author

A kinetic theory of liquids.

Nature·2010
Same author

A general kinetic theory of liquids; equilibrium properties.

Proceedings of the Royal Society of London. Series A, Mathematical and physical sciences·2010
Same author

Gompertzian mortality derived from competition between cell-types: congenital, toxicologic and biometric determinants of longevity.

Journal of theoretical biology·1989

This study introduces a novel neuronal model to simulate cortical functions, including memory and neural states. The model accounts for extracellular field interactions, offering insights into brain activity and learning.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Computational Biology

Background:

  • Understanding cortical functions requires accurate simulation of neuronal behavior.
  • Existing models may not fully capture complex states like refractory periods or extracellular field interactions.

Purpose of the Study:

  • To develop a comprehensive neuronal model simulating cortical functions in the cerebellum, cerebrum, and hippocampus.
  • To propose a new discrete neural network equation incorporating extracellular field interactions.

Main Methods:

  • Developed a neuronal model representing various neural states (refractory, potentiated, firing, resting).
  • Modeled unit circuits with known synaptic connections within functional systems.
  • Introduced a discrete neural network equation accounting for extracellular field interactions.

Related Experiment Videos

Main Results:

  • The model simulates observed behaviors of individual neurons and interconnected circuits.
  • The derived theory explains phenomena like long-term potentiation and sequential memory.
  • Successfully simulated learning in the cortex via a computer program.

Conclusions:

  • The proposed neuronal model provides a coherent theory of cortical activity and function.
  • The model's ability to simulate complex neural states and learning offers new avenues for research.
  • This work advances computational neuroscience by integrating extracellular interactions into neural network equations.