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

Elaborative Rehearsals01:07

Elaborative Rehearsals

274
Elaborative rehearsal is a crucial cognitive strategy that strengthens information encoding in long-term memory by making meaningful connections between new data and pre-existing knowledge. This approach contrasts with maintenance rehearsal, which involves simple repetition without delving into the significance of the information. While maintenance rehearsal might temporarily keep information active in short-term memory, it is less effective for long-term retention.
The effectiveness of...
274
The Replisome03:01

The Replisome

9.4K
9.4K
The Replisome03:01

The Replisome

37.8K
DNA replication is carried out by a large complex of proteins that act in a coordinated matter to achieve high-fidelity DNA replication. Together this complex is known as the DNA replication machinery or the replisome.
The synthesis of the leading and lagging strands is a highly coordinated process. To explain this, the “Trombone model” was proposed by Bruce Alberts in 1980. The DNA loop formation starts when a primer is synthesized on the parent lagging strand. The loop grows with...
37.8K
Homologous Recombination02:31

Homologous Recombination

5.9K
5.9K
Homologous Recombination02:31

Homologous Recombination

62.1K
The basic reaction of homologous recombination (HR) involves two chromatids that contain DNA sequences sharing a significant stretch of identity. One of these sequences uses a strand from another as a template to synthesize DNA in an enzyme-catalyzed reaction. The final product is a novel amalgamation of the two substrates. To ensure an accurate recombination of sequences, HR is restricted to the S and G2 phases of the cell cycle. At these stages, the DNA has been replicated already and the...
62.1K
Encoding01:19

Encoding

692
Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
692

You might also read

Related Articles

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

Sort by
Same author

Ensuring Fairness in Detecting Mild Cognitive Impairment with MRI.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2025
Same author

Enhancing clinical outcome predictions through effective sample size evaluation in graph-based digital twin modeling.

BioData mining·2025
Same author

Perceptual and technical barriers in sharing and formatting metadata accompanying omics studies.

Cell genomics·2025
Same author

Erratum: A latent transfer learning method for estimating hospital-specific post-acute healthcare demands following SARS-CoV-2 infection.

Patterns (New York, N.Y.)·2025
Same author

AI as an accelerator for defining new problems that transcends boundaries.

BioData mining·2025
Same author

Preoperative anemia is an unsuspecting driver of machine learning prediction of adverse outcomes after lumbar spinal fusion.

The spine journal : official journal of the North American Spine Society·2025
Same journal

Competitive Swarm Optimizer with Mutated Agents for Finding Optimal Designs for Nonlinear Regression Models with Multiple Interacting Factors.

Memetic computing·2021
Same journal

Manifold construction based on local distance invariance.

Memetic computing·2020
See all related articles

Related Experiment Video

Updated: Jan 1, 2026

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

512

OMNIREP: Originating Meaning by Coevolving Encodings and Representations.

Moshe Sipper1, Jason H Moore1

  • 1The authors are with the Institute for Biomedical Informatics (IBI), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104. M. Sipper is also with the Department of Computer Science, Ben-Gurion University, Beer-Sheva 8410501, Israel.

Memetic Computing
|December 31, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces omnirep, a coevolutionary algorithm that discovers both data structures and encodings for evolutionary computation (EC) representations. Experiments demonstrate its potential for problem-solving and exploring effective representations.

Keywords:
cooperative coevolutionevolutionary algorithmsinterpretation

More Related Videos

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.6K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.7K

Related Experiment Videos

Last Updated: Jan 1, 2026

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

512
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.6K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.7K

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Evolutionary Computation

Background:

  • Effective representation is crucial in evolutionary computation (EC).
  • Defining representations involves selecting data structures and their corresponding encodings.
  • Current EC practices often require manual design of these components.

Purpose of the Study:

  • To introduce and evaluate a coevolutionary algorithm, omnirep, capable of automatically discovering representations and encodings.
  • To demonstrate the feasibility and potential of an automated approach for representation engineering in EC.
  • To explore omnirep as a tool for both solving specific problems and aiding in the search for novel representations.

Main Methods:

  • Utilized a coevolutionary algorithm named omnirep.
  • Omnirep was designed to simultaneously discover the data structure (representation) and the interpretation method (encoding).
  • Four experiments were conducted to validate the algorithm's capabilities.

Main Results:

  • The experiments provided a proof-of-concept for omnirep's effectiveness.
  • Demonstrated the algorithm's ability to find suitable representations and encodings for given problems.
  • Highlighted the successful coevolution of representation and encoding.

Conclusions:

  • The omnirep methodology shows significant potential for automated representation discovery in EC.
  • It can serve as a powerful problem-solving tool.
  • Omnirep offers a valuable exploratory medium for identifying effective and novel representations.