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Related Concept Videos

Storage01:23

Storage

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 each...
Neural Circuits01:25

Neural Circuits

Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Associative Learning01:27

Associative Learning

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...
Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

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 playing an...
Understanding Memory01:19

Understanding Memory

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...
Real-World Application of Classical Conditioning01:15

Real-World Application of Classical Conditioning

Classical conditioning not only includes the initial pairing of stimuli but also extends to more complex forms, such as higher-order conditioning. Higher-order conditioning involves creating associations beyond the primary conditioned stimulus, resulting in a chain of conditioned responses.
Higher-order, or second-order, conditioning occurs when a neutral stimulus becomes associated with an already established conditioned stimulus through repeated pairings. For instance, if a dog has been...

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Related Experiment Video

Updated: Jul 16, 2026

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

Sequential associative memory with nonuniformity of the layer sizes.

Jun-Nosuke Teramae1, Tomoki Fukai

  • 1Laboratory for Neural Circuit Theory, RIKEN Brain Science Institute, Hirosawa 2-1, Wako, Saitama 351-0198, Japan. teramae@brain.riken.jp

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|March 16, 2007
PubMed
Summary

This study models brain sequence retrieval with variable-sized memory patterns, inspired by neuronal avalanches. It reveals how pattern size variability impacts memory recall and neural activity distributions.

Related Experiment Videos

Last Updated: Jul 16, 2026

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

Area of Science:

  • Computational neuroscience
  • Neural network modeling
  • Cognitive science

Background:

  • Sequence retrieval is crucial for brain information processing and is modeled using neural networks.
  • Previous models typically used memory patterns of similar sizes.
  • Recent findings show neuronal avalanches with power-law distributions in size and lifetime.

Purpose of the Study:

  • To develop an associative memory model for binary neurons storing sequences of memory patterns with highly variable sizes.
  • To analyze memory retrieval dynamics when pattern size distributions follow power laws.
  • To investigate the impact of size variability on the power-law lifetime distribution of retrieved neural activities.

Main Methods:

  • Analytical derivation of equations for the time evolution of macroscopic order parameters.
  • Modeling of associative memory with binary neurons storing variable-sized sequences.
  • Inclusion of power-law statistics for sequence size variations.

Main Results:

  • Calculation of the critical sequence length for successful memory retrieval.
  • Demonstration that variability in sequential memory patterns degrades the power-law lifetime distribution of retrieved neural activities.
  • Identification of the impact of diverse memory pattern sizes on retrieval dynamics.

Conclusions:

  • The model provides insights into how the brain might handle sequences with diverse memory pattern sizes.
  • Neuronal avalanche statistics can inform the design of more realistic neural network models for memory.
  • Understanding sequence variability is key to comprehending neural information processing and memory recall.