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

Signal Flow Graphs01:18

Signal Flow Graphs

284
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...
284
Resonance and Hybrid Structures02:16

Resonance and Hybrid Structures

17.2K
According to the theory of resonance, if two or more Lewis structures with the same arrangement of atoms can be written for a molecule, ion, or radical, the actual distribution of electrons is an average of that shown by the various Lewis structures.
Resonance Structures and Resonance Hybrids
The Lewis structure of a nitrite anion (NO2−) may actually be drawn in two different ways, distinguished by the locations of the N–O and N=O bonds.
17.2K
Neuronal Communication01:28

Neuronal Communication

1.2K
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...
1.2K
Relationship Formation02:12

Relationship Formation

40.3K
What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
40.3K
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

130
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
130
Correlations02:20

Correlations

33.5K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
33.5K

You might also read

Related Articles

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

Sort by
Same author

REM sleep favors the restructuring of problem-related semantic associations.

Communications biology·2026
Same author

Building an open ecosystem for molecular neuroimaging: standards and tools from the OpenNeuroPET initiative.

bioRxiv : the preprint server for biology·2026
Same author

Quality assessment and control of unprocessed anatomical, functional and diffusion MRI of the human brain using MRIQC.

Nature protocols·2026
Same author

[<sup>11</sup>C]PS13 PET shows that age is positively correlated with constitutively expressed cyclooxygenase-1 in the brain.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism·2026
Same author

The inferior frontal gyrus supports category switching during creative associations: A pattern similarity analysis.

Neuropsychologia·2026
Same author

Semantic Memory Structure and Self-Evaluation of Creativity: Evidence Across Tasks and Dimensions.

Journal of Intelligence·2026
Same journal

Corrigendum to 'Consonant, vowel, and tone cues in early wordform recognition: Evidence from Cantonese-learning infants' [Cognition 275 (2026) 106624].

Cognition·2026
Same journal

Identifying distinct sources of whole number interference in children's decimal comparison: the role of numerical magnitude and inhibitory control.

Cognition·2026
Same journal

Evidence for abstract spatial concept learning in young animals.

Cognition·2026
Same journal

Blurred lines or clear boundaries? Synchrony and social dominance shape domain-specific self-other processing.

Cognition·2026
Same journal

Knowability predicts curiosity and learning.

Cognition·2026
Same journal

Throwing good effort after bad: Evidence for a sunk-cost effect in cognitive effort-based decision-making.

Cognition·2026
See all related articles

Related Experiment Video

Updated: Aug 14, 2025

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

4.9K

Representing melodic relationships using network science.

Hannah M Merseal1, Roger E Beaty1, Yoed N Kenett2

  • 1Department of Psychology, Pennsylvania State University, United States.

Cognition
|January 11, 2023
PubMed
Summary
This summary is machine-generated.

Network science reveals hidden structures in improvised music. Listeners perceive melodic sequences as less related with increased network distance, similar to language processing.

Keywords:
ImprovisationMusicNetwork science

More Related Videos

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

5.7K
Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

15.3K

Related Experiment Videos

Last Updated: Aug 14, 2025

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

4.9K
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

5.7K
Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

15.3K

Area of Science:

  • Cognitive Science
  • Network Science
  • Music Cognition

Background:

  • Music is a complex system with poorly understood organizational principles.
  • Network science effectively models complex systems, including social and cognitive networks.
  • Previous research has not extensively applied network science to model melodic patterns in improvised music.

Purpose of the Study:

  • To investigate the applicability of network science methodology to model melodic patterns in expert improvised music.
  • To explore the relationship between network properties and human perception of melodic sequences.
  • To draw parallels between music and language as complex systems using network analysis.

Main Methods:

  • Construction of a network model from a large corpus of transcribed improvisations, with nodes representing 5-pitch sequences and edges representing consecutive occurrences.
  • Analysis of 116,403 nodes (sequences) and 157,429 edges using mathematical graph modeling.
  • A behavioral experiment measuring participants' judgments of melodic relatedness and reaction times (RT) to assess perception of network properties.

Main Results:

  • Increased melodic distance within the constructed network correlated with participants judging melodic sequences as less related.
  • A quadratic relationship was observed between melodic distance and reaction time, with RT slowing up to distance four and then accelerating.
  • These findings parallel similar patterns observed in language network research.

Conclusions:

  • The study provides insights into the underlying network structure of improvised tonal music.
  • Humans demonstrate sensitivity to melodic distance within this network structure.
  • Network science offers a valuable quantitative method for analyzing music complexity and highlights similarities between music and language processing.