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

Aging01:26

Aging

Aging is a complex biological phenomenon influenced by various processes that affect cellular and systemic functions. Several prominent theories attempt to explain its mechanisms, highlighting cellular limitations, oxidative damage, and hormonal changes as central factors in aging.
Cellular Clock Theory
The cellular clock theory posits that the human lifespan is closely tied to the finite capacity of cells to divide, a phenomenon governed by telomeres, which are protective caps at the ends of...
Life Histories01:29

Life Histories

Constrained by limited energy and resources, organisms must compromise between offspring quantity and parental investment. This trade-off is represented by two primary reproductive strategies; K-strategists produce few offspring but provide substantial parental support, whereas r-strategists produce much progeny that receives little care. These strategies are related to an organism’s survival likelihood across its lifespan, which is represented by a survivorship curve. Three general types of...
Migration00:53

Migration

Migration is long-range, seasonal movement from one region or habitat to another. This common strategy, carried out by many different organisms around the world, is an adaptive response that typically corresponds to changes in an organism’s environment, like resource availability or climate. Migrations can involve huge groups of thousands of animals as well as single individuals traveling alone and can range from thousands of kilometers to just a few hundred meters.
Pharmacodynamics in Geriatric Patients: Effects of Age01:27

Pharmacodynamics in Geriatric Patients: Effects of Age

Age-related pharmacokinetic changes are extensively documented, but understanding age-related pharmacodynamic alterations is relatively limited. This knowledge gap can be partly attributed to the complexity of developing appropriate measures of drug responses compared to bioanalytical methods for determining drug concentrations.Most information regarding age-related differences in human pharmacodynamics originates from cross-sectional studies. However, these studies assume that observed mean...
The Effect of Aging on Tissues01:19

The Effect of Aging on Tissues

Several body functions deteriorate with age. The external signs of aging are easily identifiable. For example, the skin becomes dry, less elastic, and thins out, forming wrinkles. The skin of the face begins to appear looser due to a decrease in the levels of elastic and collagen fibers in the connective tissue. Additionally, melanin production in the hair follicle decreases with age, resulting in gray hair. Moreover, the senses of sight and hearing decline, so glasses and hearing aids may...

You might also read

Related Articles

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

Sort by
Same author

Helminths and COVID-19 susceptibility, disease progression, and vaccination efficacy.

Trends in parasitology·2022
Same author

Record-dynamics description of spin-glass thermoremanent magnetization: A numerical and analytical study.

Physical review. E·2020
Same author

All cats are grey.

Nature·2020
Same author

Dynamics of dense hard sphere colloidal systems: A numerical analysis.

Physical review. E·2019
Same author

Two Modes of Evolution: Optimization and Expansion.

Artificial life·2019
Same author

Aging is a log-Poisson process, not a renewal process.

Physical review. E·2018

Related Experiment Video

Updated: Jun 1, 2026

Obtaining Specimens with Slowed, Accelerated and Reversed Aging in the Honey Bee Model
10:58

Obtaining Specimens with Slowed, Accelerated and Reversed Aging in the Honey Bee Model

Published on: August 29, 2013

Non-stationary aging dynamics in ant societies.

Paolo Sibani1, Simon Christiansen

  • 1Institut for Fysik og Kemi, SDU, DK5230 Odense M, Denmark. paolo.sibani@gmail.com

Journal of Theoretical Biology
|May 24, 2011
PubMed
Summary
This summary is machine-generated.

Ant movement can follow either log-Poisson or standard Poisson statistics, depending on external conditions. This study models ant behavior to show how different interaction rules and stochasticity levels influence movement patterns, potentially explaining experimental discrepancies.

More Related Videos

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
06:44

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

Published on: September 23, 2025

Methods to Study Changes in Inherent Protein Aggregation with Age in Caenorhabditis elegans
11:57

Methods to Study Changes in Inherent Protein Aggregation with Age in Caenorhabditis elegans

Published on: November 26, 2017

Related Experiment Videos

Last Updated: Jun 1, 2026

Obtaining Specimens with Slowed, Accelerated and Reversed Aging in the Honey Bee Model
10:58

Obtaining Specimens with Slowed, Accelerated and Reversed Aging in the Honey Bee Model

Published on: August 29, 2013

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
06:44

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

Published on: September 23, 2025

Methods to Study Changes in Inherent Protein Aggregation with Age in Caenorhabditis elegans
11:57

Methods to Study Changes in Inherent Protein Aggregation with Age in Caenorhabditis elegans

Published on: November 26, 2017

Area of Science:

  • Collective behavior
  • Statistical physics
  • Theoretical ecology

Background:

  • Previous studies by Richardson et al. and Nouvellet et al. presented conflicting findings on ant exit dynamics, attributing them to log-Poisson versus standard Poisson processes.
  • Discrepancies were suggested to arise from differing experimental conditions, highlighting the need for a unifying theoretical framework.
  • Understanding ant collective motion is crucial for ecological studies and analogies with physical systems like glassy aging.

Purpose of the Study:

  • To investigate whether both log-Poisson and standard Poisson statistics can describe ant society dynamics under varying external conditions.
  • To develop a model that reconciles the conflicting experimental observations regarding ant exit processes.
  • To explore the influence of interaction rules and stochasticity on emergent collective behavior in ant systems.

Main Methods:

  • A computational model simulating interacting ants on a 2D lattice was developed.
  • Ant movement probabilities were determined by changes in a utility function based on pairwise interactions weighted by distance.
  • The 'degree of stochasticity' (DS) parameter was introduced to control the randomness of ant movements.

Main Results:

  • The model demonstrated that different interaction definitions and DS values lead to distinct dynamic regimes.
  • Under certain conditions, the system converges to a stationary state exhibiting standard Poisson process dynamics.
  • Under other conditions, the system enters a non-stationary regime consistent with log-Poisson process dynamics, as proposed by Richardson et al.

Conclusions:

  • Both log-Poisson and standard Poisson statistics are plausible descriptions of ant movement, contingent on environmental factors and internal dynamics.
  • The model successfully reconciles previous experimental discrepancies by showing how varying conditions can elicit different statistical behaviors.
  • The study suggests that experimental manipulation of interaction rules or stochasticity could potentially transition ant dynamics between stationary and non-stationary states.