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Related Concept Videos

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...
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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Implicit memories, also known as non-declarative memories, are long-term memories that function outside of conscious awareness. These memories influence behavior and skills without explicit knowledge. This type of memory is evident in tasks like playing tennis, snowboarding, and texting. Implicit memory has three subsystems: procedural memory, conditioning, and priming. This type of memory is essential in various activities, from everyday tasks to specialized skills.
One key aspect of implicit...
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...
Role of Amygdala in Memory01:16

Role of Amygdala in Memory

The amygdala is a small, almond-shaped structure responsible for processing and storing memories, particularly those linked to emotions like fear and stress. It plays an essential role in the brain's response to emotionally significant events and often enhances memory formation by triggering stress hormone release. The amygdala is vital for encoding and retrieving memories associated with fear or stress, a process that is adaptive by helping organisms avoid dangerous situations.
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False memories represent a cognitive distortion in which individuals recall events that did not happen, or remember them in an altered form. This phenomenon highlights the brain's constructive nature in processing and recalling memories, emphasizing that memory is not a perfect representation of past events but rather a dynamic reconstruction influenced by various factors.
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Updated: May 8, 2026

A Prediction Error-driven Retrieval Procedure for Destabilizing and Rewriting Maladaptive Reward Memories in Hazardous Drinkers
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Published on: January 5, 2018

Modeling reconsolidation in kernel associative memory.

Dimitri Nowicki1, Patrick Verga, Hava Siegelmann

  • 1The Biologically Inspired Neural and Dynamic Systems (BINDS) Lab, Department of Computer Science, University of Massachusetts Amherst, Amherst, Massachusetts, United States of America. nowicki@cs.umass.edu

Plos One
|August 13, 2013
PubMed
Summary
This summary is machine-generated.

This study presents a novel computational model for memory reconsolidation, capable of updating memories and processing realistic stimuli. The model successfully replicates key human memory effects, including fear extinction and tracking changing objects.

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Extinction Training During the Reconsolidation Window Prevents Recovery of Fear
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Published on: August 24, 2012

Area of Science:

  • Cognitive Science
  • Computational Neuroscience
  • Neuroscience

Background:

  • Memory reconsolidation is crucial for adapting memories to new information and maintaining a coherent perception of reality.
  • This process strengthens, weakens, or modifies memories upon recall, enabling cognitive flexibility.
  • Existing memory models often have limitations in handling dynamic, real-world data and adaptive memory processes.

Purpose of the Study:

  • To introduce a novel computational model of memory reconsolidation.
  • To develop a model that can process realistic, real-valued stimuli and accommodate an unbounded number of updatable attractors.
  • To validate the model's ability to replicate key behavioral effects of memory reconsolidation in humans.

Main Methods:

  • Development of a computational model inspired by memory reconsolidation principles.
  • Introduction of unbounded, updatable attractors capable of processing large, realistic stimuli.
  • Behavioral validation against established effects: increased association, fear memory extinction, and tracking gradually changing objects.
  • Formulation of a continuous-time version extending dynamic brain circuit models.

Main Results:

  • The model successfully replicates increased association between memories.
  • Demonstrated ability to model the extinction of fear memories.
  • Successfully simulated the tracking of gradually changing objects, reflecting adaptive memory.
  • A continuous-time version was developed, enhancing dynamic brain circuit models with adaptivity.

Conclusions:

  • The presented computational model offers a powerful framework for understanding memory reconsolidation.
  • The model's ability to handle realistic stimuli and replicate key behavioral effects validates its utility.
  • This work provides a foundation for further research into adaptive memory mechanisms and their neural underpinnings.