Jove
Visualize
Contact Us

Related Concept Videos

Encoding01:19

Encoding

270
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...
270
EDTA: Auxiliary Complexing Reagents01:26

EDTA: Auxiliary Complexing Reagents

702
EDTA titrations are usually carried out in highly basic conditions, where the fully deprotonated form of EDTA, Y4−, actively complexes with the free metal ions in the solution. Several metal ions precipitate as hydrous oxide (hydroxides, oxides, or oxyhydroxides) under these conditions, lowering the concentration of free metal ions in the solution. For this reason, auxiliary complexing agents or ligands such as ammonia, tartrate, citrate, or triethanolamine are used in EDTA titrations to...
702
How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

36.8K
A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
36.8K
Multiple Allele Traits01:49

Multiple Allele Traits

35.2K
The Concept of Multiple Allelism
35.2K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

14.5K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
14.5K
DNA Base Pairing02:27

DNA Base Pairing

30.1K
30.1K

You might also read

Related Articles

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

Sort by
Same author

Biportal Endoscopic Transorbital Approach with an Accessory Lateral Orbital Port for Anterior Petrosal Corridor : A Cadaveric Feasibility Study [Seven-004].

Journal of Korean Neurosurgical Society·2026
Same author

Estimation of undetected asymptomatic infections of COVID-19: a mathematical modeling approach.

Scientific reports·2025
Same author

Homotopy reservoir computing: Harnessing chaos for computation.

Chaos (Woodbury, N.Y.)·2025
Same author

Signal-noise separation using unsupervised reservoir computing.

Chaos (Woodbury, N.Y.)·2025
Same author

Selective inhibition in CA3: A mechanism for stable pattern completion through heterosynaptic plasticity.

PLoS computational biology·2025
Same author

STDP-based associative memory formation and retrieval.

Journal of mathematical biology·2023
Same journal

Winter-associated downregulation of ovarian NR5A2 correlates with impaired follicle development in the striped hamster (Cricetulus barabensis).

Scientific reports·2026
Same journal

Both underestimation and overestimation of sleep duration predict mortality in older men with sleep disturbances.

Scientific reports·2026
Same journal

Predicting the flood susceptibility under land use and climate change scenarios using deep learning algorithms.

Scientific reports·2026
Same journal

Progress towards sustainable development and the urban-rural divide: an analysis of municipalities in Japan.

Scientific reports·2026
Same journal

Satellite-based analysis of precipitation across algeria's hydrographic watersheds (1983-2022) and their relationship with climate indices.

Scientific reports·2026
Same journal

Study on acoustic emission and infrared radiation characteristics of coal combination with different tectonic coal thickness.

Scientific reports·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 29, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.4K

An STDP-based encoding method for associative and composite data.

Hong-Gyu Yoon1, Pilwon Kim2

  • 1Department of Mathematical Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan Metropolitan City, 44919, Republic of Korea.

Scientific Reports
|March 19, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a novel memory model using spike-timing-dependent plasticity (STDP) to store and retrieve complex data. The model successfully recalls images and sentences, demonstrating its potential for advanced associative memory applications.

More Related Videos

Genetic Encoding of a Non-Canonical Amino Acid for the Generation of Antibody-Drug Conjugates Through a Fast Bioorthogonal Reaction
11:02

Genetic Encoding of a Non-Canonical Amino Acid for the Generation of Antibody-Drug Conjugates Through a Fast Bioorthogonal Reaction

Published on: September 14, 2018

7.9K
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.7K

Related Experiment Videos

Last Updated: Sep 29, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.4K
Genetic Encoding of a Non-Canonical Amino Acid for the Generation of Antibody-Drug Conjugates Through a Fast Bioorthogonal Reaction
11:02

Genetic Encoding of a Non-Canonical Amino Acid for the Generation of Antibody-Drug Conjugates Through a Fast Bioorthogonal Reaction

Published on: September 14, 2018

7.9K
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.7K

Area of Science:

  • Computational Neuroscience
  • Artificial Intelligence
  • Machine Learning

Background:

  • Spike-timing-dependent plasticity (STDP) is a fundamental mechanism for synaptic modification based on neuronal firing order and timing.
  • Previous work has shown STDP's role in forming geometrical structures in neuronal state spaces.
  • Existing models often struggle with high-dimensional, composite, and continuous data storage and retrieval.

Purpose of the Study:

  • To propose a practical memory model leveraging STDP for high-dimensional associative data.
  • To enable the storage and retrieval of multiple composite data in a continuous manner.
  • To demonstrate the model's efficacy in both image and semantic memory tasks.

Main Methods:

  • The model integrates STDP dynamics with an encoding scheme for distributed representations.
  • An auto-associative memory task involved continuously streaming images to the model.
  • A semantic memory task utilized sentences embedded with grammatical relations.

Main Results:

  • The model successfully retrieved images from an oscillating neural state when presented with appropriate cues in the auto-associative task.
  • In the semantic memory task, words recalled multiple sentences simultaneously or exclusively, based on grammatical relationships.
  • The model demonstrated continuous handling of multiple composite data.

Conclusions:

  • The proposed STDP-based memory model offers a practical solution for storing and retrieving high-dimensional associative data.
  • The model's ability to handle complex data, including images and semantic information, highlights its versatility.
  • This work advances the understanding and application of STDP in artificial memory systems.