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

Understanding Memory01:19

Understanding Memory

1.1K
Memory is the retention of information or experiences over time, facilitated through three main processes: encoding, storage, and retrieval. Encoding is the process of inputting information into the memory system. For instance, when listening to a lecture, watching a play, reading a book, or having a conversation, the brain is actively encoding information. This initial stage involves transforming sensory input into a form that can be processed and stored by the brain. Various factors, such as...
1.1K
Mnemonic Devices01:23

Mnemonic Devices

296
Mnemonic devices are cognitive tools that facilitate memory retention by linking new information to familiar patterns or organizational strategies. These techniques are beneficial for remembering complex or lengthy sets of information by simplifying and structuring them in easily retrievable ways.
Acronyms
Acronyms are created by using the initial letters of a series of words to form a new word or phrase. This approach condenses complex information into a single, memorable entity. For example,...
296
Storage01:23

Storage

278
A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
278
System of Memory01:23

System of Memory

7.0K
Memory is categorized into three major systems: sensory memory, short-term memory (STM), and long-term memory (LTM). These systems differ in their capacity and the duration for which they can hold information. Sensory memory captures raw sensory input from the environment, holding it for just a few seconds or less. For example, on hearing a brief, loud sound, like a car horn honking, the sound seems to linger in the mind for a moment even after it stops. This is an instance of sensory memory...
7.0K
Chunking and Rehearsal in Sensory Memory01:22

Chunking and Rehearsal in Sensory Memory

478
Improving short-term memory can be achieved through techniques like chunking and rehearsal. Chunking involves organizing information into larger, more manageable units. This technique is particularly useful for information that exceeds the typical memory span of between five and nine items. For instance, logging into an online account with a password like "ta89vq0179gz" involves grouping letters and numbers into three chunks—ta89, vq01, and 79gz. It makes large amounts of...
478
Working Memory01:24

Working Memory

657
Working memory refers to a combination of components, including short-term memory and attention, that allow an individual to hold information temporarily as we perform cognitive tasks. It is an essential cognitive function that enables the execution of complex tasks such as problem-solving, comprehension, and reasoning. Unlike short-term memory, which simply involves the storage of information for a brief period, working memory involves the active manipulation and processing of this...
657

You might also read

Related Articles

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

Sort by
Same author

Supernetwork-based efficient mapping of deep learning applications to mixed-precision hardware using model adaptation.

Nature communications·2026
Same author

Analogue speech recognition based on physical computing.

Nature·2025
Same author

Training of physical neural networks.

Nature·2025
Same author

The growing memristor industry.

Nature·2025
Same author

The inherent adversarial robustness of analog in-memory computing.

Nature communications·2025
Same author

Efficient scaling of large language models with mixture of experts and 3D analog in-memory computing.

Nature computational science·2025
Same journal

Bridging nanotechnology and mechanobiology.

Nature nanotechnology·2026
Same journal

Coherent 2D/3D van der Waals epitaxy enables single-crystal perovskite heterostructures.

Nature nanotechnology·2026
Same journal

Coherent 2D-3D van der Waals perovskite epitaxial heterostructures.

Nature nanotechnology·2026
Same journal

Ultrafast, reconfigurable all-optical beam steering and spatial light modulation.

Nature nanotechnology·2026
Same journal

A high-energy hydrogen radical initiates efficient electrosynthesis of urea from CO<sub>2</sub> and N<sub>2</sub>.

Nature nanotechnology·2026
Same journal

Machine-intelligent multimodal algebot for intracavitary chemotherapy.

Nature nanotechnology·2026
See all related articles

Related Experiment Video

Updated: Dec 14, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
08:07

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Published on: March 9, 2019

8.2K

Publisher Correction: Memory devices and applications for in-memory computing.

Abu Sebastian1, Manuel Le Gallo2, Riduan Khaddam-Aljameh2

  • 1IBM Research - Zurich, Rüschlikon, Switzerland. ase@zurich.ibm.com.

Nature Nanotechnology
|July 18, 2020
PubMed
Summary
This summary is machine-generated.

This study has a published amendment. Please refer to the link at the top of the paper for the updated version and further details.

More Related Videos

A Method for Growing Bio-memristors from Slime Mold
07:46

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

9.2K
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

13.1K

Related Experiment Videos

Last Updated: Dec 14, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
08:07

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Published on: March 9, 2019

8.2K
A Method for Growing Bio-memristors from Slime Mold
07:46

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

9.2K
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

13.1K

Area of Science:

  • This section requires specific scientific information not present in the provided abstract.

Context:

  • The abstract indicates a published amendment to the paper.

Purpose:

  • To inform readers about a published amendment to the research paper.

Summary:

  • An amendment to this paper has been published.
  • It can be accessed via a link at the top of the paper.

Impact:

  • Readers should consult the amended version for the most current and accurate information.
  • Ensures readers are referencing the definitive version of the research.