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

Typical Model Studies01:30

Typical Model Studies

382
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
382
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

411
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
411
Modeling in Therapy01:26

Modeling in Therapy

122
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
122
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

64
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
64
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

182
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
182
Models, Theories, and Laws01:16

Models, Theories, and Laws

5.5K
Scientists frequently use models to help them comprehend a specific collection of phenomena. In physics, a model is a condensed version of a physical system that is too complex to study thoroughly. One such example is the light wave model; unlike water waves, light waves are typically invisible to us. Nonetheless, it is helpful to think of light as being composed of waves, since investigations show that light behaves like water waves. Since it is impossible to visually see what is genuinely...
5.5K

You might also read

Related Articles

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

Sort by
Same author

Exposure to false cardiac feedback alters pain perception and anticipatory cardiac frequency.

eLife·2026
Same author

Gaze dynamics prior to navigation support hierarchical planning.

PloS one·2026
Same author

Usability, Acceptability, and Feasibility of a Personalized Adaptive Mirror Therapy for Upper-Limb Poststroke Rehabilitation Using Immersive Virtual Reality and Myoelectric Control: Single-Arm Pre-Post Study.

JMIR rehabilitation and assistive technologies·2026
Same author

Limb apraxia and active inference in the visuomotor pathways.

Psychonomic bulletin & review·2026
Same author

The continuous dynamics of planning and acting in a virtually embodied task.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Moderate hypofractionation: long-term toxicity results of prostate bed radiotherapy (FRAME-PROSTATE).

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico·2026
Same journal

AI-driven cellular immunotherapy: transforming CAR-T engineering and translation.

Physics of life reviews·2026
Same journal

Looking in the right place: Strategy-based vs. capacity-based cognitive enhancement. Reply to comments on "To enhance or not to enhance".

Physics of life reviews·2026
Same journal

Decoding nucleic acid modification regulatory networks: A key to cancer intervention and treatment.

Physics of life reviews·2026
Same journal

Irregular curvature at focal adhesions modulates Piezo1 activity and low-frequency ultrasound-induced apoptosis in cancer cells.

Physics of life reviews·2026
Same journal

Interoceptive machine framework: Toward interoception-inspired regulatory architectures in artificial intelligence.

Physics of life reviews·2026
Same journal

Scale-invariant evolution: Comment on "homo informatio" by Michael Walker.

Physics of life reviews·2026
See all related articles

Related Experiment Video

Updated: Jul 21, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.4K

Beyond simple laboratory studies: Developing sophisticated models to study rich behavior.

Antonella Maselli1, Jeremy Gordon2, Mattia Eluchans3

  • 1Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy.

Physics of Life Reviews
|July 27, 2023
PubMed
Summary
This summary is machine-generated.

Psychology and neuroscience can advance by studying complex, real-world behaviors. Innovative methods and computational models are key to understanding cognitive and neural functions in ecologically valid settings.

Keywords:
BehaviorBehavioral neuroscienceComputational modelingNeuroethologySports analytics

More Related Videos

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

6.4K
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

Related Experiment Videos

Last Updated: Jul 21, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.4K
Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

6.4K
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

Area of Science:

  • Psychology and Neuroscience
  • Behavioral Science
  • Cognitive Science

Background:

  • Traditional laboratory studies in psychology and neuroscience often use constrained settings, limiting the scope of observable behaviors.
  • This methodological control risks overlooking crucial aspects of cognitive and neural functions by restricting the natural range of behavior.

Purpose of the Study:

  • To advocate for the integration of innovative experimental designs, measurement techniques, and computational models in psychology and neuroscience.
  • To encourage the study of rich, ecologically valid behaviors, including social interactions, to gain a more comprehensive understanding of the mind and brain.

Main Methods:

  • Reviewing recent research that employs model-based approaches to study complex behaviors in fields like sports analytics, ethology, and robotics.
  • Discussing the challenges and opportunities presented by advanced methodologies, sensing technologies, and sophisticated computational modeling.

Main Results:

  • Identified successful research examples demonstrating the feasibility and benefits of studying rich behaviors using model-based approaches.
  • Highlighted the potential of state-of-the-art techniques to overcome limitations of traditional experimental paradigms.

Conclusions:

  • Psychologists and neuroscientists should expand their methodological toolkit to include sophisticated behavioral models.
  • Adopting these advanced techniques will enable a deeper investigation into rich forms of behavior and their underlying cognitive and neural processes.