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

10.9K
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,...
10.9K
Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

9.5K
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....
9.5K
Vision01:24

Vision

61.8K
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.
61.8K
Visual System01:26

Visual System

2.4K
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...
2.4K
Parallel Processing01:20

Parallel Processing

926
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...
926
Anatomy of the Eyeball01:20

Anatomy of the Eyeball

12.2K
The eye is a spherical, hollow structure composed of three tissue layers. The outer layer — the fibrous tunic, comprises the sclera — a white structure — and the cornea, which is transparent. The sclera encompasses some of the ocular surface, most of which is not visible. However, the 'white of the eye' is distinctively visible in humans compared to other species. The cornea, a clear covering at the front of the eye, enables light penetration. The eye's middle...
12.2K

You might also read

Related Articles

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

Sort by
Same author

Frame-wise multi-echo distortion correction for superior functional MRI.

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

Predictive acoustical processing in human cortical layers.

Nature communications·2026
Same author

An 80-channel receive array for 10.5T neuroimaging: Key considerations for SNR optimization.

bioRxiv : the preprint server for biology·2026
Same author

Functional MRI of the Human Hippocampus at 10.5T: Pushing the Boundaries of Spatial Resolution.

bioRxiv : the preprint server for biology·2026
Same author

Bridging the gap with invasive imaging: promises and challenges of a new generation of ultrahigh resolution fMRI.

bioRxiv : the preprint server for biology·2026
Same author

BIBSNet: A deep learning baby image brain segmentation network for MRI scans.

Developmental cognitive neuroscience·2026

Related Experiment Video

Updated: Apr 19, 2026

Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients
07:43

Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients

Published on: June 17, 2019

8.5K

Featural and temporal attention selectively enhance task-appropriate representations in human primary visual cortex.

Scott G Warren1, Essa Yacoub2, Geoffrey M Ghose3

  • 11] Graduate Program in Neuroscience, University of Minnesota, Minneapolis, Minnesota 55455, USA [2] Medical Scientist Training Program, University of Minnesota, Minneapolis, Minnesota 55455, USA.

Nature Communications
|December 16, 2014
PubMed
Summary
This summary is machine-generated.

Our brains shift neural activity to focus on expected visual changes, demonstrating how featural attention works. This selective neural targeting enhances perception of specific features at anticipated times.

More Related Videos

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

10.5K
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

7.6K

Related Experiment Videos

Last Updated: Apr 19, 2026

Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients
07:43

Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients

Published on: June 17, 2019

8.5K
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

10.5K
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

7.6K

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Visual Perception

Background:

  • Human perception relies on attention, often focusing on specific features or time periods.
  • Non-spatial attention mechanisms, crucial for processing dynamic environments, are not fully understood.
  • Primary visual cortex (V1) neurons exhibit selective responses to visual stimuli.

Purpose of the Study:

  • To investigate the physiological underpinnings of non-spatial attention.
  • To explore how the brain prioritizes specific visual features over time.
  • To understand the neural basis of featural attention in a change-detection task.

Main Methods:

  • Functional neuroimaging (brain activity) was used while subjects performed a change-detection task.
  • A continuously varying visual stimulus selectively activated distinct subpopulations of primary visual cortex (V1) neurons.
  • Brain activity was analyzed in response to cued changes in visual stimuli.

Main Results:

  • Attentional cues systematically shifted the mapping of orientation preference in V1 towards the cued stimulus before its appearance.
  • A linear model successfully explained the observed shifts in neural activity.
  • Neural subpopulations representing attended features showed targeted changes in response during anticipated time periods.

Conclusions:

  • Featural attention is mediated by a linear modulation of task-appropriate neural subpopulations.
  • The brain dynamically adjusts neural representations to prioritize anticipated sensory information.
  • These findings provide insight into the neural mechanisms of selective attention and visual processing.