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

Centroid for the Paraboloid of Revolution01:16

Centroid for the Paraboloid of Revolution

912
The paraboloid of revolution is an axially symmetric surface generated by rotating a parabola around its axis. This shape has several applications in mechanical engineering due to its advantageous structural properties, such as strength against stress concentration points and rotational symmetry.
The centroid for the paraboloid of revolution is the point where all the mass of the paraboloid is concentrated. This centroid is important for engineering applications, as it determines how forces are...
912
Areas Within Irregular Boundaries01:26

Areas Within Irregular Boundaries

385
Calculating areas within irregular boundaries, such as along rivers or curved roads, is crucial in various fields, including surveying, engineering, and environmental management. Surveyors often begin by creating a traverse, a connected series of straight lines approximating the area's boundary. The coordinates of each traverse point are essential for calculating the enclosed area. The double meridian distance formula is a widely used technique for this purpose. This method utilizes the...
385
Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Decision Making01:20

Decision Making

994
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
994
Network Covalent Solids02:18

Network Covalent Solids

16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K
Electrostatic Boundary Conditions01:16

Electrostatic Boundary Conditions

974
Consider an external electric field propagating through a homogeneous medium. When the electric field crosses the surface boundary of the medium, it undergoes a discontinuity. The electric field can be resolved into normal and tangential components. The amount by which the field changes at any boundary is given by the difference between the field components above and below the surface boundary.
The surface integral of an electric field is given by Gauss's law in integral form and is related to...
974

You might also read

Related Articles

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

Sort by
Same author

Tracking the narrative: A data-driven analysis of media coverage of Russia and Ukraine 2013-2024.

PloS one·2026
Same author

Photonic Kolmogorov-Arnold networks based on self-phase modulation in nonlinear waveguides.

Optics letters·2026
Same author

From Plant to Skin: Exploring <i>Alnus glutinosa</i> Extracts for Cosmeceutical Applications.

Antioxidants (Basel, Switzerland)·2025
Same author

LIX: Implicitly Infusing Spatial Geometric Prior Knowledge Into Visual Semantic Segmentation for Autonomous Driving.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2025
Same author

Comparison of ChatGPT-3.5 and GPT-4 as potential tools in artificial intelligence-assisted clinical practice in renal and liver transplantation.

World journal of transplantation·2025
Same author

Thermodynamic investigation of renewable block copolymers based on poly(lactic acid) and poly(ethylene azelate).

Soft matter·2025

Related Experiment Video

Updated: Feb 8, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

1.1K

Neurons With Paraboloid Decision Boundaries for Improved Neural Network Classification Performance.

Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis

    IEEE Transactions on Neural Networks and Learning Systems
    |July 12, 2018
    PubMed
    Summary

    This study introduces a novel paraboloid neuron that replaces linear decision boundaries with curved ones. This innovation enhances recognition accuracy in artificial neural networks.

    More Related Videos

    A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
    06:28

    A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

    Published on: August 26, 2018

    6.3K
    Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
    11:18

    Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

    Published on: March 2, 2015

    10.9K

    Related Experiment Videos

    Last Updated: Feb 8, 2026

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    1.1K
    A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
    06:28

    A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

    Published on: August 26, 2018

    6.3K
    Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
    11:18

    Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

    Published on: March 2, 2015

    10.9K

    Area of Science:

    • Artificial Intelligence
    • Machine Learning
    • Computational Neuroscience

    Background:

    • Artificial neurons typically use linear hyperplane decision boundaries (wTx + w0 = 0).
    • These linear boundaries limit the complexity of patterns that can be recognized.

    Purpose of the Study:

    • To introduce a novel artificial neuron with a curved, paraboloid decision boundary.
    • To explore the potential of paraboloid neural networks for improved pattern recognition.

    Main Methods:

    • The proposed paraboloid neuron's decision boundary is defined by the equation (hTx + h0)^2 - ||x - p||^2 = 0.
    • This equation incorporates parameters related to the directrix (h, h0) and focus (p) of a paraboloid.

    Main Results:

    • Paraboloid neural networks demonstrate superior recognition accuracy compared to traditional linear models.
    • The curved decision boundary allows for more complex pattern classification.

    Conclusions:

    • The paraboloid neuron offers a significant advancement over standard artificial neurons.
    • This new architecture holds promise for various applications requiring high recognition accuracy.