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

Association Areas of the Cortex01:21

Association Areas of the Cortex

9.2K
Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
9.2K
Associative Learning01:27

Associative Learning

1.3K
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
1.3K
System of Memory01:23

System of Memory

7.3K
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...
7.3K
Working Memory01:24

Working Memory

852
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...
852
Long-Term Memory01:18

Long-Term Memory

669
Long-term memory is a relatively permanent type of memory, capable of storing vast amounts of information over extended periods. Its storage capacity is generally considered unlimited.
Long-term memory can be categorized into two primary types: explicit and implicit memory. Explicit memory, also known as declarative memory, involves the conscious recollection of information that we deliberately try to remember, recall, and articulate. This type of memory encompasses specific facts, events, and...
669
Traumatic Memory01:20

Traumatic Memory

566
Emotionally traumatic events often lead to memories that are exceptionally vivid and enduring, sometimes persisting with remarkable clarity throughout an individual's life. A classic example of this phenomenon is a person who survives a car accident. Even years later, they may recall every detail of the event with startling accuracy — the screeching of the tires, the jarring impact, and the acrid smell of burning rubber. Such vividness contrasts sharply with how an individual...
566

You might also read

Related Articles

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

Sort by
Same author

Computational model of layer 2/3 in mouse primary visual cortex explains observed visuomotor mismatch response.

Journal of computational neuroscience·2024
Same author

Impact of network topology on self-organized criticality.

Physical review. E·2018
Same author

Optimization by Self-Organized Criticality.

Scientific reports·2018
Same author

Effects of Cigarette Smoking on Plasma Concentration of the Appetite-Regulating Peptide Ghrelin.

Annals of nutrition & metabolism·2015
Same author

Dynamical movement primitives: learning attractor models for motor behaviors.

Neural computation·2012
Same author

B-Myb promotes S-phase independently of its sequence-specific DNA binding activity and interacts with polymerase delta-interacting protein 1 (Pdip1).

Cell cycle (Georgetown, Tex.)·2012
Same journal

A Model-Free Reinforcement Learning Implementation of Decision Making Under Uncertainty by Sequential Sampling.

Neural computation·2026
Same journal

DROP: Distributional and Regular Optimism and Pessimism for Reinforcement Learning.

Neural computation·2026
Same journal

Hierarchical Active Inference Using Successor Representations.

Neural computation·2026
Same journal

W-Kernel and Its Principal Space for Frequentist Evaluation of Bayesian Estimators.

Neural computation·2026
Same journal

A Hidden Markov Model-Inspired Sequence Classification Method for Hyperdimensional Computing.

Neural computation·2026
Same journal

Sparse Graphical Modeling for Electrophysiological Phase-Based Connectivity Using Circular Statistics.

Neural computation·2026
See all related articles

Related Experiment Video

Updated: Jan 27, 2026

C. elegans Positive Butanone Learning, Short-term, and Long-term Associative Memory Assays
09:58

C. elegans Positive Butanone Learning, Short-term, and Long-term Associative Memory Assays

Published on: March 11, 2011

30.4K

Sparse Associative Memory.

Heiko Hoffmann1

  • 1HRL Laboratories, Malibu, CA 90265, U.S.A. hhoffmann@hrl.com.

Neural Computation
|March 19, 2019
PubMed
Summary
This summary is machine-generated.

We introduce a novel sparse associative memory (SAM) model that efficiently stores biological memories. This new model significantly reduces spurious memories, offering a potential building block for brain functions.

More Related Videos

Aversive Associative Learning and Memory Formation by Pairing Two Chemicals in Caenorhabditis elegans
07:17

Aversive Associative Learning and Memory Formation by Pairing Two Chemicals in Caenorhabditis elegans

Published on: June 23, 2022

2.9K
Shuttle Box Assay as an Associative Learning Tool for Cognitive Assessment in Learning and Memory Studies using Adult Zebrafish
08:35

Shuttle Box Assay as an Associative Learning Tool for Cognitive Assessment in Learning and Memory Studies using Adult Zebrafish

Published on: July 12, 2021

5.0K

Related Experiment Videos

Last Updated: Jan 27, 2026

C. elegans Positive Butanone Learning, Short-term, and Long-term Associative Memory Assays
09:58

C. elegans Positive Butanone Learning, Short-term, and Long-term Associative Memory Assays

Published on: March 11, 2011

30.4K
Aversive Associative Learning and Memory Formation by Pairing Two Chemicals in Caenorhabditis elegans
07:17

Aversive Associative Learning and Memory Formation by Pairing Two Chemicals in Caenorhabditis elegans

Published on: June 23, 2022

2.9K
Shuttle Box Assay as an Associative Learning Tool for Cognitive Assessment in Learning and Memory Studies using Adult Zebrafish
08:35

Shuttle Box Assay as an Associative Learning Tool for Cognitive Assessment in Learning and Memory Studies using Adult Zebrafish

Published on: July 12, 2021

5.0K

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Memory Research

Background:

  • The precise mechanisms of associative biological memory remain largely unknown.
  • Existing Hopfield networks, popular associative memory models, face challenges with spurious memories and low efficiency.

Purpose of the Study:

  • To introduce a new computational model for associative memory that addresses the limitations of current models.
  • To investigate the theoretical properties and simulated performance of this novel model.

Main Methods:

  • Development of a sparse associative memory (SAM) model utilizing sparse projections from neural patterns to pattern-specific neurons.
  • Theoretical analysis and computational simulations to evaluate the model's performance.

Main Results:

  • The SAM model demonstrates high memory efficiency.
  • The probability of spurious memories in the SAM model is vanishingly small.
  • Sparse projections are sufficient for unique neural pattern encoding.

Conclusions:

  • The proposed SAM model offers a significant improvement over existing associative memory models.
  • This model has the potential to serve as a fundamental component for understanding brain functions related to associative memory.