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

Synesthesia01:27

Synesthesia

180
Synesthesia is a remarkable condition where stimulation of one sensory or cognitive pathway leads to automatic, involuntary experiences in a second sensory or cognitive pathway. People with synesthesia experience a blending or crossing of their senses, such as sight and sound, leading to cross-modal sensations. In this condition, the stimulation of one sense, such as hearing a number or musical note, triggers an experience of another sense, like sensing a specific color, taste, or smell. People...
180
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

739
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
739
Statistical Hypothesis Testing01:16

Statistical Hypothesis Testing

2.0K
Hypothesis testing is a critical statistical procedure facilitating informed, evidence-based decisions. It begins with a hypothesis, which is a tentative explanation, or a prediction about a population parameter. This hypothesis can be either a null hypothesis (H0), indicating no effect or difference, or an alternative hypothesis (Ha), suggesting an effect or difference.
Statistical significance measures the probability that an observed result occurred by chance. If this probability, known as...
2.0K
Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

293
SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
293
Interpreting R Charts01:22

Interpreting R Charts

99
R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
99
Correlation of Experimental Data01:23

Correlation of Experimental Data

264
Dimensional analysis simplifies complex physical problems and guides experimental investigations, but it does not provide complete solutions. It identifies the dimensionless groups that influence a phenomenon, but experimental data is needed to establish the specific relationships and validate theoretical predictions.
For example, a spherical particle moving through a viscous fluid experiences drag. Dimensional analysis shows that the drag force depends on the particle's diameter, velocity,...
264

You might also read

Related Articles

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

Sort by
Same author

Pupil dilation offers a time-window on prediction error.

eLife·2026
Same author

Genetic and environmental contributions to the link between synaesthesia and neurodevelopmental and psychiatric features: a twin study.

Translational psychiatry·2025
Same author

Genetic and environmental architecture of synaesthesia and its association with the autism spectrum-a twin study.

Proceedings. Biological sciences·2023
Same author

Subtly altered topological asymmetry of brain structural covariance networks in autism spectrum disorder across 43 datasets from the ENIGMA consortium.

Molecular psychiatry·2022
Same author

The impact of atypical sensory processing on adaptive functioning within and beyond autism: The role of familial factors.

Autism : the international journal of research and practice·2021
Same author

A co-twin-control study of altered sensory processing in autism.

Autism : the international journal of research and practice·2021
Same journal

The Rhythm Reproduction Task for children: A psychometric examination.

Behavior research methods·2026
Same journal

QualGames: A Qualtrics implementation and a database of behavioral game theory tasks.

Behavior research methods·2026
Same journal

PyLossless: A non-destructive EEG processing pipeline.

Behavior research methods·2026
Same journal

"It makes sense to me": Examining data file column names in the visual cognitive literature.

Behavior research methods·2026
Same journal

Planned missingness in intensive longitudinal studies: Extensions and comparisons of multiform designs.

Behavior research methods·2026
Same journal

A validity-guided workflow for robust large language model research in psychology.

Behavior research methods·2026
See all related articles

Related Experiment Video

Updated: Aug 22, 2025

Training Synesthetic Letter-color Associations by Reading in Color
10:27

Training Synesthetic Letter-color Associations by Reading in Color

Published on: February 20, 2014

23.0K

synr: An R package for handling synesthesia consistency test data.

Lowe Wilsson1, Tessa M van Leeuwen2,3, Janina Neufeld4,5

  • 1Center of Neurodevelopmental Disorders at Karolinska Institutet (KIND), Department of Women's and Children's Health, Karolinska Institutet, Solna, Sweden. lowe.wilsson@tobii.com.

Behavior Research Methods
|November 11, 2022
PubMed
Summary
This summary is machine-generated.

A new R package, synr, offers a user-friendly tool for analyzing synesthesia consistency tests. It introduces a novel method using DBSCAN to identify uninterpretable results, improving objective synesthesia research.

Keywords:
Color analysisDensity-based spatial clustering of applications with noise (DBSCAN)RSynesthesia

More Related Videos

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

270
DetectSyn: A Rapid, Unbiased Fluorescent Method to Detect Changes in Synapse Density
09:10

DetectSyn: A Rapid, Unbiased Fluorescent Method to Detect Changes in Synapse Density

Published on: July 22, 2022

3.4K

Related Experiment Videos

Last Updated: Aug 22, 2025

Training Synesthetic Letter-color Associations by Reading in Color
10:27

Training Synesthetic Letter-color Associations by Reading in Color

Published on: February 20, 2014

23.0K
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

270
DetectSyn: A Rapid, Unbiased Fluorescent Method to Detect Changes in Synapse Density
09:10

DetectSyn: A Rapid, Unbiased Fluorescent Method to Detect Changes in Synapse Density

Published on: July 22, 2022

3.4K

Area of Science:

  • Cognitive Neuroscience
  • Psychology
  • Data Science

Background:

  • Synesthesia involves additional perceptual experiences triggered by sensory stimuli.
  • Objective verification of synesthesia relies on consistency tests of color choices for stimuli.
  • A gap exists in publicly available, easy-to-use tools for analyzing these consistency tests.

Purpose of the Study:

  • Introduce the R package synr for analyzing synesthesia consistency test data.
  • Provide an efficient interface for data exploration and common analysis procedures.
  • Implement a novel method for identifying uninterpretable participant data.

Main Methods:

  • The R package synr is developed for synesthesia data analysis.
  • A novel method using DBSCAN and 3D spatial spread is implemented to identify unreliable data.
  • The package's performance is demonstrated with openly accessible data.

Main Results:

  • Synr provides an efficient interface for exploring and analyzing synesthesia consistency data.
  • The novel DBSCAN-based method effectively identifies participants with uninterpretable responses.
  • Synr's data validation showed high correspondence with human ratings and outperformed them in specific cases.

Conclusions:

  • The synr package addresses the need for accessible tools in synesthesia research.
  • It offers a robust method for data validation, enhancing the objectivity of synesthesia studies.
  • Synr has potential applications in synesthesia research and other psychological domains.