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

Retrieval01:12

Retrieval

523
Retrieval is the process of getting information out of memory storage and back into conscious awareness. This ability is essential for daily tasks like brushing hair and teeth, driving to work, and performing job duties. Retrieval occurs in three ways: recall, recognition, and relearning.
Recall involves accessing information without cues, such as during an essay test, where individuals must retrieve facts and concepts from memory unaided. Another example is remembering the name of a colleague...
523
Storage01:23

Storage

487
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...
487
Role of Neurotransmitters in Memory01:23

Role of Neurotransmitters in Memory

2.9K
Neurotransmitters are integral to the brain's communication system, enabling neurons to transmit signals across synapses. This chemical exchange underpins various cognitive functions, including memory processes. The role of neurotransmitters in memory is multifaceted, influencing the encoding, consolidation, and retrieval of memories through their action on different neural circuits.
 Glutamate and Synaptic Plasticity
Glutamate, the brain's main excitatory neurotransmitter, is...
2.9K
Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

2.3K
Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or...
2.3K
Interference and Decay01:16

Interference and Decay

571
Forgetting is a complex cognitive phenomenon influenced by several factors, among which interference and decay are particularly prominent. These processes explain why individuals often struggle to retrieve specific information from memory, leading to lapses in recall that can be observed in everyday situations.
Interference occurs when competing memories hinder the retrieval of particular information. It can be classified into two types: proactive and retroactive interference. Proactive...
571
Understanding Memory01:19

Understanding Memory

1.8K
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...
1.8K

You might also read

Related Articles

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

Sort by
Same author

Complementary roles of cell-type-specific plasticity in shaping neocortical dynamics for learning action timing.

Nature communications·2026
Same author

Sexual dimorphism in the complete connectome of the <i>Drosophila</i> male central nervous system.

bioRxiv : the preprint server for biology·2025
Same author

Interactions between long- and short-term synaptic plasticity transform temporal neural representations into spatial.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Corrigendum to "Mathematical models of learning and what can be learned from them" [Curr Opin Neurobiol 80 (2023)].

Current opinion in neurobiology·2025
Same author

Random Tree Model of Meaningful Memory.

Physical review letters·2025
Same author

Information rate of meaningful communication.

Proceedings of the National Academy of Sciences of the United States of America·2025

Related Experiment Video

Updated: Mar 27, 2026

Brain Imaging Investigation of the Neural Correlates of Emotional Autobiographical Recollection
11:30

Brain Imaging Investigation of the Neural Correlates of Emotional Autobiographical Recollection

Published on: August 26, 2011

10.4K

Neural Network Model of Memory Retrieval.

Stefano Recanatesi1, Mikhail Katkov1, Sandro Romani2

  • 1Department of Neurobiology, Weizmann Institute of Science Rehovot, Israel.

Frontiers in Computational Neuroscience
|January 7, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a neural network model for memory retrieval, explaining how recalling information involves transitions between memory representations. The model predicts recall times and identifies factors influencing memory recall efficiency.

Keywords:
attractor neural networksmemoryneural representationsoscillationsrecall

More Related Videos

A Lateralized Odor Learning Model in Neonatal Rats for Dissecting Neural Circuitry Underpinning Memory Formation
10:42

A Lateralized Odor Learning Model in Neonatal Rats for Dissecting Neural Circuitry Underpinning Memory Formation

Published on: August 18, 2014

9.4K
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

3.0K

Related Experiment Videos

Last Updated: Mar 27, 2026

Brain Imaging Investigation of the Neural Correlates of Emotional Autobiographical Recollection
11:30

Brain Imaging Investigation of the Neural Correlates of Emotional Autobiographical Recollection

Published on: August 26, 2011

10.4K
A Lateralized Odor Learning Model in Neonatal Rats for Dissecting Neural Circuitry Underpinning Memory Formation
10:42

A Lateralized Odor Learning Model in Neonatal Rats for Dissecting Neural Circuitry Underpinning Memory Formation

Published on: August 18, 2014

9.4K
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

3.0K

Area of Science:

  • Cognitive Neuroscience
  • Computational Neuroscience
  • Artificial Intelligence

Background:

  • Human memory has a vast capacity but recalling information can be difficult.
  • Even with short word lists, errors in recall are common in experimental settings.

Purpose of the Study:

  • To propose a novel neural network model for memory retrieval.
  • To explain the dynamics of memory recall based on representational similarities.
  • To investigate factors influencing the efficiency of memory retrieval.

Main Methods:

  • Developed a memory retrieval model using a Hopfield neural network.
  • Employed mean-field analysis to study network dynamics.
  • Simulated network behavior under oscillating feedback inhibition and noise.

Main Results:

  • Identified stable network states corresponding to single and intersecting memory representations.
  • Demonstrated that network dynamics can trigger transitions between memory states, mimicking recall.
  • Showed that items with larger neural representations are statistically easier to recall.

Conclusions:

  • The proposed neural network model offers a plausible mechanism for information retrieval.
  • The model aligns with experimental observations of recall time distributions.
  • Identified potential bottlenecks in human memory retrieval processes.