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

8.7K
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,...
8.7K
Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

6.8K
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....
6.8K
Neural Circuits01:25

Neural Circuits

2.6K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
2.6K
Vision01:24

Vision

59.2K
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.
59.2K
Visual System01:26

Visual System

1.6K
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...
1.6K
Parallel Processing01:20

Parallel Processing

597
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...
597

You might also read

Related Articles

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

Sort by
Same author

Sparseness facilitates image encoding across visuo-frontal networks in freely moving macaque.

Nature communications·2026
Same author

Unsupervised learning of temporal regularities in visual cortical populations.

Nature communications·2025
Same author

Optogenetic modulation of long-range cortical circuits in awake nonhuman primates.

Nature protocols·2025
Same author

NREM sleep improves behavioral performance by desynchronizing cortical circuits.

Science (New York, N.Y.)·2024
Same author

Publisher Correction: Visuo-frontal interactions during social learning in freely moving macaques.

Nature·2024
Same author

Population coding of strategic variables during foraging in freely moving macaques.

Nature neuroscience·2024
Same journal

Distinct involvements of the subthalamic nucleus subpopulations in reward-biased decision-making in monkeys.

eLife·2026
Same journal

Pink1-mediated mitophagy in the endothelium releases proteins encoded by mitochondrial DNA and activates neutrophil responses during inflammation.

eLife·2026
Same journal

Restraint of melanoma progression by cells in the local skin environment.

eLife·2026
Same journal

Brawn before bite in endemic Asian eutherian mammals after the end-Cretaceous extinction.

eLife·2026
Same journal

Experimental evolution to thermal stress indicates climate resilience in a cosmopolitan arthropod.

eLife·2026
Same journal

Correlates of protection against African swine fever virus identified by a systems immunology approach.

eLife·2026
See all related articles

Related Experiment Video

Updated: Jan 7, 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

8.2K

Rapid learning in visual cortical networks.

Ye Wang1, Valentin Dragoi1

  • 1Department of Neurobiology and Anatomy, The University of Texas Medical School at Houston, Houston, United States.

Elife
|August 27, 2015
PubMed
Summary
This summary is machine-generated.

Cell population activity in the visual cortex (V4) shows coordinated spike timing during rapid learning. Increased theta synchronization predicts better performance, revealing a neural plasticity mechanism.

Keywords:
learningmonkeyneuroscienceoscillationspopulationsvisual cortex

More Related Videos

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
09:42

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

6.4K
Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
10:45

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Published on: May 29, 2017

10.3K

Related Experiment Videos

Last Updated: Jan 7, 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

8.2K
Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
09:42

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

6.4K
Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
10:45

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Published on: May 29, 2017

10.3K

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Understanding neural coding in cell populations during learning is crucial.
  • Previous research focused mainly on single neuron activity, leaving population-level strategies unclear.

Purpose of the Study:

  • To investigate population coding strategies during rapid perceptual learning in macaque area V4.
  • To identify the relationship between neural synchrony and behavioral performance improvement.

Main Methods:

  • Recorded multi-unit and local field potential (LFP) activity in macaque area V4 during an image discrimination task.
  • Analyzed spike-timing coordination and spike-LFP synchrony (theta and high-frequency bands) in relation to behavioral learning.

Main Results:

  • Behavioral performance improvement during learning was predicted by tight spike-timing coordination with local population activity.
  • Increased spike-LFP theta synchrony correlated positively with learning performance.
  • High-frequency synchrony showed no relation to performance changes; these synchrony changes were absent in stable learning or non-learning conditions.

Conclusions:

  • Elevated low-frequency (theta) synchronization between individual neurons and local populations is a novel mechanism of plasticity in the visual cortex.
  • This synchrony mechanism underlies performance improvement during rapid perceptual learning.