Jove
Visualize
Contact Us

Related Concept Videos

Natural Selection and Adaptation01:15

Natural Selection and Adaptation

338
Natural selection, a fundamental concept in evolutionary biology, is the mechanism by which evolution is driven, favoring organisms that are best adapted to their environments. This process enhances their chances of survival and reproduction. Adaptation, a key outcome of this process, involves genetic modifications that optimize an organism's functionality under specific environmental challenges, such as extreme cold or thinner air at high altitudes.
Beyond physical adaptations,...
338
Adaptations that Reduce Water Loss01:57

Adaptations that Reduce Water Loss

26.3K
Though evaporation from plant leaves drives transpiration, it also results in loss of water. Because water is critical for photosynthetic reactions and other cellular processes, evolutionary pressures on plants in different environments have driven the acquisition of adaptations that reduce water loss.
26.3K
Introduction to Learning01:18

Introduction to Learning

526
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
526
Longitudinal Research02:20

Longitudinal Research

12.4K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.4K
Transduction01:16

Transduction

96
Among the three main modes of HGT—transformation, conjugation, and transduction—transduction is unique in that it is mediated by bacteriophages, or bacterial viruses.Transduction occurs in two ways. Generalized transduction occurs during the lytic cycle of a bacteriophage infection. In this process, bacteriophages infect bacterial cells, replicate within them, and ultimately cause cell lysis, releasing newly assembled virions. Occasionally, random fragments of the bacterial genome...
96
Neuroplasticity01:01

Neuroplasticity

742
Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
742

You might also read

Related Articles

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

Sort by
Same author

In vivo dedifferentiation of human epidermal cells.

Cell biology international·2007
Same author

What is in a word? No versus Yes differentially engage the lateral orbitofrontal cortex.

Emotion (Washington, D.C.)·2007
Same author

[Gene expression profile changes in oral verrucous carcinoma and oral squamous cell carcinoma].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology·2007
Same author

Morphology of critical nuclei in solid-state phase transformations.

Physical review letters·2007
Same author

Enhanced cooperative activation effect in the hydrolytic kinetic resolution of epoxides on [Co(salen)] catalysts confined in nanocages.

Angewandte Chemie (International ed. in English)·2007
Same author

[Construction of the three-dimensional finite element model of micro -implant -maxilla].

Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology·2007
Same journal

CAFF-CIL: Causality-Aware Freedom Forgetting Approach for Class-Incremental Learning.

IEEE transactions on neural networks and learning systems·2026
Same journal

Harmonic Autoencoding Framework for Multiple Tasks in Magnetic Particle Imaging Reconstruction.

IEEE transactions on neural networks and learning systems·2026
Same journal

A Survey on Human-Centric Voice-Face Multimodal Learning.

IEEE transactions on neural networks and learning systems·2026
Same journal

Vision-Assisted Foundation Model for Solving Multitask Vehicle Routing Problems.

IEEE transactions on neural networks and learning systems·2026
Same journal

FP3O: Enabling Proximal Policy Optimization in Multiagent Cooperation With Parameter-Sharing Versatility.

IEEE transactions on neural networks and learning systems·2026
Same journal

Hierarchical Semantic Concept Modeling for Generalizable Myocardial Pathology Segmentation on Multisequence CMR Images.

IEEE transactions on neural networks and learning systems·2026
See all related articles
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 Experiment Video

Updated: Sep 7, 2025

Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

9.1K

Transfer Adaptation Learning: A Decade Survey.

Lei Zhang, Xinbo Gao

    IEEE Transactions on Neural Networks and Learning Systems
    |June 21, 2022
    PubMed
    Summary
    This summary is machine-generated.

    Transfer Adaptation Learning (TAL) addresses challenges in changing environments by adapting models to new domains. This survey reviews decade-long advances, identifying key methods and future research directions for robust AI.

    More Related Videos

    Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation
    08:04

    Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation

    Published on: August 23, 2017

    8.3K
    A Method to Study Adaptation to Left-Right Reversed Audition
    07:14

    A Method to Study Adaptation to Left-Right Reversed Audition

    Published on: October 29, 2018

    6.6K

    Related Experiment Videos

    Last Updated: Sep 7, 2025

    Visualizing Visual Adaptation
    04:43

    Visualizing Visual Adaptation

    Published on: April 24, 2017

    9.1K
    Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation
    08:04

    Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation

    Published on: August 23, 2017

    8.3K
    A Method to Study Adaptation to Left-Right Reversed Audition
    07:14

    A Method to Study Adaptation to Left-Right Reversed Audition

    Published on: October 29, 2018

    6.6K

    Area of Science:

    • Artificial Intelligence
    • Machine Learning
    • Computer Science

    Background:

    • The real world is dynamic, with changing environments, people, and things.
    • Domain is defined as the state of the world at a specific moment.
    • Transfer Adaptation Learning (TAL) addresses the need for knowledge correspondence across different domains or time instances.

    Purpose of the Study:

    • To survey advances in Transfer Adaptation Learning (TAL) methodologies over the past decade.
    • To discuss technical challenges and essential problems in TAL with new perspectives.
    • To identify broader solutions and understudied issues in the field.

    Main Methods:

    • Review of TAL methodologies published in the last decade.
    • Categorization of adaptation solutions: instance reweighting, feature adaptation, classifier adaptation, deep network adaptation, and adversarial adaptation.
    • Analysis of research foundation, status, limitations, and future challenges.

    Main Results:

    • Identified key TAL methodologies beyond traditional semi-supervised and unsupervised learning.
    • Highlighted broader solutions including instance reweighting, feature, classifier, deep network, and adversarial adaptation.
    • Discussed challenges such as universality, interpretability, and credibility.

    Conclusions:

    • TAL is a rapidly growing field crucial for building models adaptable to new, distribution-shifted domains.
    • Future research should focus on universality, interpretability, and credibility for generalizable representations in open-world scenarios.
    • The survey provides a comprehensive understanding of TAL's foundation, status, and future directions.