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

Convolution: Math, Graphics, and Discrete Signals01:24

Convolution: Math, Graphics, and Discrete Signals

957
In any LTI (Linear Time-Invariant) system, the convolution of two signals is denoted using a convolution operator, assuming all initial conditions are zero. The convolution integral can be divided into two parts: the zero-input or natural response and the zero-state or forced response, with t0 indicating the initial time.
To simplify the convolution integral, it is assumed that both the input signal and impulse response are zero for negative time values. The graphical convolution process...
957
Stereotype Threat and Self-fulfilling Prophecies02:09

Stereotype Threat and Self-fulfilling Prophecies

42.5K
When we hold a stereotype about a person, we have expectations that he or she will fulfill that stereotype. A self-fulfilling prophecy is an expectation held by a person that alters his or her behavior in a way that tends to make it true. When we hold stereotypes about a person, we tend to treat the person according to our expectations. This treatment can influence the person to act according to our stereotypic expectations, thus confirming our stereotypic beliefs. Research by Rosenthal and...
42.5K

You might also read

Related Articles

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

Sort by
Same author

Racism is not about "race".

Scientific reports·2023
Same author

First impressions of a new face are shaped by infection concerns.

Evolution, medicine, and public health·2023
Same author

Blue Eyes Help Men Reduce the Cost of Cuckoldry.

Archives of sexual behavior·2021
Same author

Most Findings Obtained With Untimed Visual Illusions Are Confounded.

Psychological science·2021
Same author

Infection threat shapes our social instincts.

Behavioral ecology and sociobiology·2021
Same author

Mental Health, Mitochondria, and the Battle of the Sexes.

Biomedicines·2021
Same journal

MT-MRI for detection of renal interstitial fibrosis in renovascular disease.

Scientific reports·2026
Same journal

Detection of underground objects from GPR data using a lightweight YOLO-based approach.

Scientific reports·2026
Same journal

Early systemic inflammatory-metabolic trajectory phenotypes are associated with survival outcomes in metastatic renal cell carcinoma treated with nivolumab.

Scientific reports·2026
Same journal

Water balance components in a dry-seeded rice-wheat system: Untangling the effects of tillage and mulching practices.

Scientific reports·2026
Same journal

Topological approaches to quantum tensor train compression via ZX-calculus and SVD.

Scientific reports·2026
Same journal

determinants of flood impacts and adaptive capacity among market vendors in Walukuba-Masese, Jinja city, Uganda.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Feb 7, 2026

Universal Screening for Prevention of Reading, Writing, and Math Disabilities in Spanish
14:43

Universal Screening for Prevention of Reading, Writing, and Math Disabilities in Spanish

Published on: July 18, 2020

8.6K

Systemisers are better at maths.

Paola Bressan1

  • 1Dipartimento di Psicologia Generale, Università di Padova, Via Venezia 8, 35131, Padova, Italy. paola.bressan@unipd.it.

Scientific Reports
|August 4, 2018
PubMed
Summary
This summary is machine-generated.

Stronger systemising tendencies, the drive to detect patterns and rules, predict better mathematical skills in the general population. This finding supports the empathising-systemising theory and the hyper-systemising explanation for autism spectrum disorder.

More Related Videos

Luminescence Resonance Energy Transfer to Study Conformational Changes in Membrane Proteins Expressed in Mammalian Cells
08:31

Luminescence Resonance Energy Transfer to Study Conformational Changes in Membrane Proteins Expressed in Mammalian Cells

Published on: September 16, 2014

12.5K
Using Practice Testing, Public Speaking, and Source Monitoring to Examine the Influences of Learning Strategies and Stress on Episodic Memory
07:59

Using Practice Testing, Public Speaking, and Source Monitoring to Examine the Influences of Learning Strategies and Stress on Episodic Memory

Published on: June 14, 2019

8.4K

Related Experiment Videos

Last Updated: Feb 7, 2026

Universal Screening for Prevention of Reading, Writing, and Math Disabilities in Spanish
14:43

Universal Screening for Prevention of Reading, Writing, and Math Disabilities in Spanish

Published on: July 18, 2020

8.6K
Luminescence Resonance Energy Transfer to Study Conformational Changes in Membrane Proteins Expressed in Mammalian Cells
08:31

Luminescence Resonance Energy Transfer to Study Conformational Changes in Membrane Proteins Expressed in Mammalian Cells

Published on: September 16, 2014

12.5K
Using Practice Testing, Public Speaking, and Source Monitoring to Examine the Influences of Learning Strategies and Stress on Episodic Memory
07:59

Using Practice Testing, Public Speaking, and Source Monitoring to Examine the Influences of Learning Strategies and Stress on Episodic Memory

Published on: June 14, 2019

8.4K

Area of Science:

  • Psychology
  • Neuroscience
  • Autism Research

Background:

  • Individuals with superior mathematical abilities are diagnosed with autism spectrum disorder more frequently.
  • The empathising-systemising theory suggests a link mediated by stronger systemising (pattern detection, rule derivation) in mathematics.
  • Previous evidence on systemising predicting general mathematical ability was limited.

Purpose of the Study:

  • To investigate whether systemising tendencies predict mathematical skills in the general population.
  • To test a key assumption of the empathising-systemising theory.
  • To provide empirical support for the hyper-systemising explanation of autism.

Main Methods:

  • Correlation analysis was used to assess the relationship between systemising and mathematical abilities.
  • Participants included 201 individuals for self-assessed skills and 151 for mathematical intelligence.
  • Analyses controlled for non-mathematical intelligence, sex, and occupational field.

Main Results:

  • Systemising tendencies significantly predicted self-assessed mathematical skills.
  • Systemising tendencies also predicted mathematical intelligence.
  • These predictions held true even after controlling for confounding variables.

Conclusions:

  • Systemising ability is a predictor of mathematical skills in the general population.
  • Findings support the empathising-systemising theory's proposed link between systemising and mathematics.
  • The results bolster the hyper-systemising hypothesis of autism spectrum disorder.