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 Concept Videos

Electrical Synapses01:28

Electrical Synapses

Electrical synapses found in all nervous systems play important and unique roles. In these synapses, the presynaptic and postsynaptic membranes are very close together (3.5 nm) and are actually physically connected by channel proteins forming gap junctions.
Gap junctions allow the current to pass directly from one cell to the next. In contrast, in the chemical synapse, the neurotransmitters carry the information through the synaptic cleft from one neuron to the next. They consist of two...
Neurons: The Axon01:21

Neurons: The Axon

Axons are long, cytoplasmic processes of nerve cells capable of propagating electrical impulses known as action potentials. The cytoplasm or axoplasm of an axon contains neurofibrils, neurotubules, small vesicles, lysosomes, mitochondria, and various enzymes, all encased within the axolemma, the plasma membrane of the axon.
The axon attaches to the cell body at a cone-shaped elevation called the axon hillock. The initial part of the axon, closest to the hillock, is known as the initial segment.
Neural Circuits01:25

Neural Circuits

Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Neuronal Communication01:28

Neuronal Communication

Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
Neuron Structure01:31

Neuron Structure

Overview
Neuron Structure01:30

Neuron Structure

Neurons are the main type of cell in the nervous system that generate and transmit electrochemical signals. They primarily communicate with each other using neurotransmitters at specific junctions called synapses. Neurons come in many shapes that often relate to their function, but most share three main structures: an axon and dendrites that extend out from a cell body.
Structure and Function of Neurons
The neuronal cell body—the soma— houses the nucleus and organelles vital to cellular...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Endorsement of artificial intelligence guidelines across leading endocrinology journals: a cross-sectional analysis.

Frontiers in endocrinology·2026
Same author

Artificial intelligence policies in neurology journals: a cross-sectional analysis.

Frontiers in neurology·2026
Same author

Exploring the Endorsement and Implementation of Artificial Intelligence Guidelines in Leading Orthopaedic and Sports Medicine Journals: A Cross-Sectional Study.

The Journal of bone and joint surgery. American volume·2026
Same author

Correction: Evaluating AI guidelines in leading family medicine journals: a cross-sectional study.

BMC primary care·2026
Same author

Full title: evaluating AI guidelines in leading family medicine journals: a cross-sectional study.

BMC primary care·2025
Same author

A cross-sectional analysis of reporting guideline and clinical trial registration policies in nephrology journals.

Journal of nephrology·2024

Related Experiment Video

Updated: Jun 8, 2026

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

Josephson junction simulation of neurons.

Patrick Crotty1, Dan Schult, Ken Segall

  • 1Physics & Astronomy Department, Colgate University, Hamilton, New York 13346, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|September 28, 2010
PubMed
Summary

Superconducting Josephson junction circuits mimic biological neurons, enabling faster, large-scale network simulations. This technology offers a new tool for studying complex neural dynamics and behaviors.

Area of Science:

  • Neuroscience
  • Quantum Computing
  • Condensed Matter Physics

Background:

  • Understanding complex neural dynamics requires advanced computational models.
  • Existing simulations and biological networks have limitations in scale and speed.
  • Josephson junctions offer unique quantum properties for circuit design.

Purpose of the Study:

  • To develop a novel physical model for biologically realistic neurons using superconducting circuits.
  • To investigate the potential of Josephson junction neurons for simulating large-scale neural networks.
  • To explore the speed and efficiency advantages over traditional computational methods.

Main Methods:

  • Designed superconducting circuits incorporating Josephson junctions to emulate neuronal behavior.

More Related Videos

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

Modeling Biological Membranes with Circuit Boards and Measuring Electrical Signals in Axons: Student Laboratory Exercises
13:56

Modeling Biological Membranes with Circuit Boards and Measuring Electrical Signals in Axons: Student Laboratory Exercises

Published on: January 18, 2011

Related Experiment Videos

Last Updated: Jun 8, 2026

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

Modeling Biological Membranes with Circuit Boards and Measuring Electrical Signals in Axons: Student Laboratory Exercises
13:56

Modeling Biological Membranes with Circuit Boards and Measuring Electrical Signals in Axons: Student Laboratory Exercises

Published on: January 18, 2011

  • Modeled key neuronal characteristics: action potentials, refractory periods, and firing thresholds.
  • Investigated methods for coupling these artificial neurons to simulate synaptic connections.
  • Main Results:

    • Josephson junction neurons successfully reproduced essential biological neuron behaviors.
    • Coupled circuits mimicked electrical and chemical synapses effectively.
    • Networks of these neurons demonstrated potential for parallel operation and high-speed computation.

    Conclusions:

    • Josephson junction neurons present a viable, high-speed alternative for simulating neural networks.
    • This technology facilitates the exploration of large-scale neural dynamics.
    • Offers a significant advancement over traditional computer simulations and biological neural networks.