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Related Concept Videos

Long-Term Memory01:18

Long-Term Memory

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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.
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Storage01:23

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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...
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Working Memory01:24

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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...
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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...
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The cerebellum, while traditionally associated with motor control, also plays a crucial role in memory, particularly in procedural memory, which involves learning motor tasks that become automatic through repetition. For example, studies have shown that when the cerebellum is damaged, individuals or animals lose the ability to learn conditioned motor responses, such as the conditioned eye-blink response in classical conditioning experiments with rabbits. This study demonstrates the...
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Updated: Oct 28, 2025

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
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Functional Connectivity during Encoding Predicts Individual Differences in Long-Term Memory.

Qi Lin1, Kwangsun Yoo1, Xilin Shen2

  • 1Yale University.

Journal of Cognitive Neuroscience
|July 17, 2021
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Summary
This summary is machine-generated.

Individual differences in long-term memory (LTM) depend on whole-brain functional networks, not just traditional LTM regions. These networks are distinct from those supporting working memory.

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Neuroimaging

Background:

  • Understanding individual differences in long-term memory (LTM) is crucial.
  • Previous research often focused on specific brain regions for LTM formation.

Purpose of the Study:

  • To identify the neural basis of individual differences in recognition and recollection memory.
  • To contrast the functional brain networks supporting LTM with those supporting working memory.

Main Methods:

  • Used fMRI data during an n-back task to characterize whole-brain functional connectivity networks.
  • Analyzed predictive power of these networks for LTM and working memory performance.
  • Controlled for working memory to isolate LTM network contributions.

Main Results:

  • Two distinct whole-brain functional connectivity networks predicted individual differences in recognition and recollection.
  • These LTM networks are largely separable from working memory networks.
  • Connectivity within traditional LTM regions had limited predictive power; interactions with other regions were more important.

Conclusions:

  • Individual differences in LTM rely on the configuration of distributed, whole-brain functional networks.
  • These LTM networks are distinct from working memory networks.
  • Brain network interactions are key for memory performance, especially recollection.