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

Working Memory01:24

Working Memory

985
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...
985
High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

801
Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
801
Role of Cerebellum and Prefrontal Cortex in Memory01:14

Role of Cerebellum and Prefrontal Cortex in Memory

1.3K
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...
1.3K
Encoding01:19

Encoding

907
Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
907
Diencephalon: Thalamus and Information Relay01:27

Diencephalon: Thalamus and Information Relay

4.8K
The thalamus, often called “the gateway to the cerebral cortex,” is vital in processing and directing sensory and motor signals throughout the brain. Almost all inputs destined for the cerebral cortex, except for olfactory signals, are relayed through the thalamus. The thalamus is  a sophisticated relay station, channeling information from various brain regions to the cerebral cortex, as well as a filter, prioritizing certain signals over others based on current physiological...
4.8K
Optimal Arousal Theory01:23

Optimal Arousal Theory

926
The optimal arousal theory suggests that performance is maximized when an individual experiences a moderate level of arousal. This theory is closely tied to the Yerkes-Dodson law, which illustrates an inverted U-shaped relationship between arousal and performance. The law, formulated by psychologists Robert Yerkes and John Dodson, implies an ideal arousal level for optimal performance, and deviations from this level can lead to declines in effectiveness.
Inverted U-Shaped Performance Curve
The...
926

You might also read

Related Articles

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

Sort by
Same author

Big-Tent versus Small-Tent Views of the Brain Mechanisms Underlying Consciousness<sup>☆</sup>.

Neuroscience and biobehavioral reviews·2026
Same author

Attention Networks Connectivity After Cognitive Rehabilitation in Alzheimer's Disease.

Journal of geriatric psychiatry and neurology·2026
Same author

Multivariate age-related variations in quantitative MRI maps: widespread age-related differences revisited.

Frontiers in neuroscience·2026
Same author

Articulatory rehearsal modulates word frequency effect in working memory tasks.

Journal of experimental psychology. Learning, memory, and cognition·2026
Same author

Toward a comprehensive account of verbal memory: An embedded computational model across representational domains.

Journal of experimental psychology. Learning, memory, and cognition·2026
Same author

Cue-driven attentional guidance nearly eliminates salience effects in working memory.

Journal of experimental psychology. Learning, memory, and cognition·2026

Related Experiment Video

Updated: Feb 21, 2026

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control
09:37

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control

Published on: July 5, 2015

9.6K

The Dorsal Attention Network Reflects Both Encoding Load and Top-down Control during Working Memory.

Steve Majerus1,2, Frédéric Péters1, Marion Bouffier1,2

  • 1Université de Liège.

Journal of Cognitive Neuroscience
|October 7, 2017
PubMed
Summary

The dorsal attention network supports both how much information and which information is processed in working memory (WM). This network plays a key role in attention during WM encoding, with some modality-specific functions.

More Related Videos

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

15.9K
A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions
10:38

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions

Published on: July 16, 2015

14.1K

Related Experiment Videos

Last Updated: Feb 21, 2026

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control
09:37

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control

Published on: July 5, 2015

9.6K
Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

15.9K
A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions
10:38

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions

Published on: July 16, 2015

14.1K

Area of Science:

  • Cognitive Neuroscience
  • Neurobiology

Background:

  • The dorsal attention network is crucial for verbal and visual working memory (WM) tasks, mediating top-down attentional control.
  • Working memory capacity is influenced by information encoded within the focus of attention, potentially independent of strategic control.

Purpose of the Study:

  • To investigate the dorsal attention network's role in encoding load and top-down memory control within working memory.
  • To differentiate the network's involvement in quantitative (load) versus qualitative (control) aspects of attention during WM.

Main Methods:

  • A short-term probe recognition task was employed with auditory and visual stimuli.
  • Encoding load was varied by set size, and top-down control was manipulated by selective attention instructions.
  • Region of Interest (ROI) and searchlight multivariate analyses were used to examine brain activity.

Main Results:

  • The dorsal attention network demonstrated encoding of information related to both load and control conditions across verbal and visuospatial modalities.
  • Modality-specific sensory cortices also showed decoding of encoding load conditions.
  • These findings indicate a complex role for the dorsal attention network in supporting both quantitative and qualitative attentional aspects during WM encoding.

Conclusions:

  • The dorsal attention network is integral to working memory, supporting both the amount and selection of information.
  • Attention's role in working memory encoding is complex and involves partially modality-specific mechanisms within the dorsal attention network.