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

Simulator for neural networks and action potentials: description and application

I Ziv1, D A Baxter, J H Byrne

  • 1Department of Neurobiology and Anatomy, University of Texas Medical School at Houston, Texas 77030.

Journal of Neurophysiology
|January 1, 1994
PubMed
Summary

A new simulator, SNNAP, models neural networks and action potentials. It simulates neurons, synapses, and neural modulation, enabling the creation of diverse neural libraries for advanced research.

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

Neural Mechanisms Underlying Sensitization of a Defensive Reflex in Aplysia.

The Biological bulletin·2018
Same author

Radiolabelled apoptotic probe may be a vehicle for a novel multimodality radionuclide tumour therapy.

European journal of nuclear medicine and molecular imaging·2014
Same author

Interfragmentary lag screws and external fixation for severe open tibial fractures: a biomechanical and clinical study.

Clinical biomechanics (Bristol, Avon)·2013
Same author

Control of multistability in ring circuits of oscillators.

Biological cybernetics·2011
Same author

Molecular biology of dopamine-induced apoptosis : possible implications for Parkinson's disease.

Methods in molecular medicine·2011
Same author

A mathematical criterion based on phase response curves for stability in a ring of coupled oscillators.

Biological cybernetics·2010

Area of Science:

  • Computational Neuroscience
  • Biophysics
  • Neuroscience

Background:

  • Accurate simulation of neural networks is crucial for understanding brain function.
  • Existing simulators may lack the flexibility to model complex neuronal dynamics and synaptic plasticity.

Purpose of the Study:

  • To introduce the Simulator for Neural Networks and Action Potentials (SNNAP), a versatile tool for simulating neuronal behavior and network dynamics.
  • To demonstrate SNNAP's capability in modeling diverse neuronal types, synaptic connections, and neuromodulatory effects.

Main Methods:

  • SNNAP simulates up to 30 neurons with detailed conductances, electrical, and chemical synapses using Hodgkin-Huxley type equations and differential equations.
  • A modular design with ASCII files allows easy modification and incorporation of cell types and network structures.

Related Experiment Videos

  • Simulations included various voltage-dependent channels, synaptic plasticity, neural modulation, and a central pattern generator.

    • Main Results:

    • Successfully simulated diverse neuron firing patterns (tonic, adaptive, bursting) and network activities (feed-forward, feedback, electrical coupling).
    • Modeled neuromodulatory effects on excitability and transmitter release via second-messenger pathways.
    • Replicated dynamic changes in a complex central pattern generator.

    Conclusions:

    • SNNAP provides a flexible and powerful platform for simulating complex neural systems.
    • The simulator facilitates the development of customizable neural libraries for diverse research applications.
    • SNNAP advancements contribute to a deeper understanding of neural computation and dynamics.