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

Association Areas of the Cortex01:21

Association Areas of the Cortex

6.4K
Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
6.4K
Somatosensory, Motor, and Association Cortex01:24

Somatosensory, Motor, and Association Cortex

1.0K
The somatosensory cortex in the parietal lobes is crucial for interpreting sensory data such as touch, temperature, and proprioception. The somatosensory cortex, situated in the parietal lobes, plays a vital role in interpreting sensory information like touch, temperature, and proprioception—awareness of body position. This specialized brain region features an organized structure wherein neurons at the top primarily process sensations originating from the lower body. In contrast, those at...
1.0K
Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

4.8K
The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
Motor Areas
The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor cortex....
4.8K
Parallel Processing01:20

Parallel Processing

254
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
254
Visual System01:26

Visual System

708
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
708
Vision01:24

Vision

55.4K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
55.4K

You might also read

Related Articles

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

Sort by
Same author

Spatiotemporal characterisation of information coding in the multiple demand network.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Kymata Soto Language Dataset: an electro-magnetoencephalographic dataset for natural speech processing.

Scientific data·2026
Same author

Using EEG to detect lapses in sustained attention to moving stimuli.

Cortex; a journal devoted to the study of the nervous system and behavior·2025
Same author

Distinct and complementary mechanisms of oscillatory and aperiodic alpha activity in visuospatial attention.

Imaging neuroscience (Cambridge, Mass.)·2025
Same author

Paying attention to John Duncan.

Neuropsychologia·2025
Same author

Optimizing control conditions for entraining neural oscillations using rhythmic TMS.

Brain stimulation·2025
Same journal

Prevalence and modulation of rat off-track head scanning on linear tracks: possible implications for representational and dynamic properties of hippocampal place cells.

Neuropsychologia·2026
Same journal

Identifying networks within an fMRI multivariate searchlight analysis.

Neuropsychologia·2026
Same journal

Modulating sentence comprehension in people with aphasia through anodal tDCS: A double-blind randomized cross-over study.

Neuropsychologia·2026
Same journal

Deficient processing of regularity violations during visuospatial neglect: a visual mismatch negativity study.

Neuropsychologia·2026
Same journal

Seeing is believing: mental imagery amplifies moral, emotional, and motivational responding to mentally constructed hypothetical events.

Neuropsychologia·2026
Same journal

From Past Recall to Future Projection: What Does Verb Tense Production Reveal About Mental Time Travel in Alzheimer's disease?

Neuropsychologia·2026
See all related articles

Related Experiment Video

Updated: Sep 20, 2025

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
06:46

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

7.2K

Spatial and feature-selective attention interact to drive selective coding in frontoparietal cortex.

Nadene Dermody1, Romy Lorenz2, Erin Goddard3

  • 1MRC Cognitive and Brain Sciences Unit, University of Cambridge, UK.

Neuropsychologia
|May 23, 2025
PubMed
Summary
This summary is machine-generated.

Selective attention, both spatial and feature-based, interact multiplicatively in the brain's multiple-demand network. This precise neural tuning prioritizes relevant information, enhancing cognitive control.

More Related Videos

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

9.2K
Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
07:08

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Published on: August 1, 2018

8.4K

Related Experiment Videos

Last Updated: Sep 20, 2025

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
06:46

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

7.2K
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

9.2K
Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
07:08

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Published on: August 1, 2018

8.4K

Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Neuroimaging

Background:

  • Selective attention is crucial for processing information.
  • Spatial and feature-selective attention have distinct neural underpinnings.
  • These attention types often work together in real-world scenarios.

Purpose of the Study:

  • To investigate the interaction between spatial and feature-selective attention.
  • To understand how this interaction affects information coding in the multiple-demand (MD) network.
  • To explore the neural mechanisms of attentional control.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was employed.
  • Multivariate pattern analysis (MVPA) was used to decode neural representations.
  • Covert attention to object features (color, shape) and spatial locations (left, right) was manipulated.

Main Results:

  • Spatial and feature-selective attention showed multiplicative interactions in information coding within MD and visual regions.
  • Neural activity precisely represented attended information, with stimulus features and discrimination difficulty encoded on separate dimensions.
  • Irrelevant visual information was not significantly encoded.

Conclusions:

  • Attentional control involves precise neural tuning rather than broad boosting of processing.
  • The multiple-demand network exhibits highly selective coding of behaviorally relevant information across multiple dimensions.
  • This suggests a sophisticated mechanism for prioritizing information under attentional demands.