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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...
System of Memory01:23

System of Memory

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...
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...
Working Memory01:24

Working Memory

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 information.
Long-Term Memory01:18

Long-Term Memory

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...
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...

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Related Experiment Video

Updated: May 20, 2026

Investigating Long-term Synaptic Plasticity in Interlamellar Hippocampus CA1 by Electrophysiological Field Recording
14:27

Investigating Long-term Synaptic Plasticity in Interlamellar Hippocampus CA1 by Electrophysiological Field Recording

Published on: August 11, 2019

Complex network structure influences processing in long-term and short-term memory.

Michael S Vitevitch1, Kit Ying Chan, Steven Roodenrys

  • 1Department of Psychology University of Kansas.

Journal of Memory and Language
|June 30, 2012
PubMed
Summary
This summary is machine-generated.

Network structure impacts memory retrieval. High clustering coefficient words aid short-term recall, while low clustering coefficient words increase false recognition in long-term memory tasks.

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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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A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

Related Experiment Videos

Last Updated: May 20, 2026

Investigating Long-term Synaptic Plasticity in Interlamellar Hippocampus CA1 by Electrophysiological Field Recording
14:27

Investigating Long-term Synaptic Plasticity in Interlamellar Hippocampus CA1 by Electrophysiological Field Recording

Published on: August 11, 2019

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

Area of Science:

  • Cognitive Psychology
  • Network Science
  • Psycholinguistics

Background:

  • Complex networks model system interactions, with structure influencing processing.
  • Clustering coefficient (C) quantifies local network density.
  • Prior research linked phonological word-form C to mental lexicon retrieval.

Purpose of the Study:

  • To investigate how network structure, specifically clustering coefficient, influences retrieval processes in long-term and short-term memory.
  • To extend previous findings on lexical retrieval to broader memory functions.

Main Methods:

  • False-memory task to assess long-term memory.
  • Recognition memory task for veridical long-term memories.
  • Serial recall task to examine short-term memory redintegration.

Main Results:

  • Participants falsely recognized more low-C words than high-C words in a false-memory task.
  • Participants correctly recognized more low-C words than high-C words in a recognition memory task.
  • Participants recalled lists of high-C words more accurately than low-C words in a serial recall task.

Conclusions:

  • Network clustering coefficient significantly influences cognitive processes across different memory systems.
  • Findings demonstrate the impact of network structure on lexical, long-term, and short-term memory retrieval.