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

Circuit Terminology01:14

Circuit Terminology

636
An electrical network is a system composed of interconnected elements, such as resistors, capacitors, inductors, and voltage or current sources. Unlike a circuit, an electrical network does not necessarily form a closed path. In other words, while all circuits can be considered networks due to their interconnected nature, not every network qualifies as a circuit.
A circuit, on the other hand, is also an interconnected system of electrical elements but must contain one or more closed paths.
636
Network Function of a Circuit01:25

Network Function of a Circuit

280
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
280
Equivalent Resistance01:16

Equivalent Resistance

417
In circuit analysis, situations often arise where resistors are neither in series nor parallel configurations. To tackle such scenarios, three-terminal equivalent networks like the wye (Y) (Figure 1 (a)) or tee (T) and delta (Δ) (Figure 1 (b)) or pi (π) networks come into play. These networks offer versatile solutions and are frequently encountered in various applications, including three-phase electrical systems, electrical filters, and matching networks.
417
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

12.1K
Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
12.1K
Thevinin's Theorem01:15

Thevinin's Theorem

546
Thévenin's theorem plays a pivotal role in electrical circuit analysis, offering a solution to the challenges posed by variable loads within a circuit. In practical applications, it is common to encounter circuits where certain elements remain fixed while others fluctuate, often referred to as the "load." A typical household electrical outlet serves as a prime example of a variable load, as it can be connected to a variety of appliances, each with its own unique electrical...
546
Signal Flow Graphs01:18

Signal Flow Graphs

210
Signal-flow graphs offer a streamlined and intuitive approach to representing control systems, providing an alternative to traditional block diagrams. These graphs use branches to symbolize systems and nodes to represent signals, effectively illustrating the relationships and interactions within the system.
In a signal-flow graph, branches denote the system's transfer functions, while nodes represent the signals. The direction of signal flow is indicated by arrows, with the corresponding...
210

You might also read

Related Articles

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

Sort by
Same author

Robust representation of the spatial arrangement of topological features.

Attention, perception & psychophysics·2026
Same author

Ensemble size perception as a case study of the bounds of adaptation.

Psychonomic bulletin & review·2026
Same author

Distortions of space and time in and around objects and events.

Psychonomic bulletin & review·2026
Same author

Unfolding event structure distorts subjective time.

Cognition·2025
Same author

Can we "see" value? Spatiotopic "visual" adaptation to an imperceptible dimension.

Cognition·2025
Same author

No privileged link between intentionality and causation: Generalizable effects of agency in language.

Cognition·2025

Related Experiment Video

Updated: Jun 25, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.0K

Intuitive network topology.

Sami R Yousif1, Elizabeth M Brannon1

  • 1Department of Psychology, University of Pennsylvania.

Journal of Experimental Psychology. General
|May 30, 2024
PubMed
Summary
This summary is machine-generated.

Humans intuitively understand network topology, differentiating and remembering objects based on their structure, not just surface details. This suggests topology may be a fundamental way the brain represents relationships.

More Related Videos

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

536
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.1K

Related Experiment Videos

Last Updated: Jun 25, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.0K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

536
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.1K

Area of Science:

  • Cognitive Science
  • Mathematics
  • Psychology

Background:

  • Topology, the study of spatial relations, extends beyond simple shapes to network structures.
  • Previous research explored human perception of basic topological features like closure and boundedness.
  • Topological maps exemplify the efficiency of this mathematical language for representing networks.

Purpose of the Study:

  • To investigate intuitive network topology perception in humans.
  • To determine if people can differentiate, remember, and match objects based on topological network features.

Main Methods:

  • Participants were presented with objects varying in surface features but maintaining consistent topological network structures.
  • Tasks involved differentiating, remembering, and matching these objects.
  • Analysis focused on performance related to topological properties versus surface variations.

Main Results:

  • Individuals readily differentiated objects based on distinct topological network features.
  • Object memory and matching were consistently guided by topology, irrespective of significant surface variations.
  • Performance indicated a robust ability to process and utilize network topology.

Conclusions:

  • Humans possess an inherent, intuitive understanding of basic network topological features.
  • Topology appears to be a significant factor in how individuals perceive and represent relational information.
  • Findings suggest topology may function as a representational format within the human mind.