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

Vision01:24

Vision

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.
Visual System01:26

Visual System

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...
Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

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.
Parallel Processing01:20

Parallel Processing

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...
The Retina01:32

The Retina

The retina is a layer of nervous tissue at the back of the eye that transduces light into neural signals. This process, called phototransduction, is carried out by rod and cone photoreceptor cells in the back of the retina.
Color Vision01:24

Color Vision

Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.

You might also read

Related Articles

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

Sort by
Same author

Neuropixels Opto: combining high-resolution electrophysiology and optogenetics.

Nature methods·2026
Same author

Contrast and pattern adaptation in visual cortex share a common gain control mechanism.

Journal of neurophysiology·2026
Same author

Brainwide blood volume reflects opposing neural populations.

Nature·2026
Same author

Mapping the visual cortex with Zebra noise and wavelets.

Journal of vision·2026
Same author

Glutamate indicators with increased sensitivity and tailored deactivation rates.

Nature methods·2025
Same author

Contrast and pattern adaptation in visual cortex share a common gain control mechanism.

bioRxiv : the preprint server for biology·2025
Same journal

Neural timescales from a computational perspective.

Nature neuroscience·2026
Same journal

Author Correction: Spinal cord Tau pathology induces tactile deficits and cognitive impairment in Alzheimer's disease via dysregulation of CCK neurons.

Nature neuroscience·2026
Same journal

Hippocampal theta sweeps indicate goal direction during navigation.

Nature neuroscience·2026
Same journal

Just how goal-directed are hippocampal theta sweeps, anyway?

Nature neuroscience·2026
Same journal

Goal-directed hippocampal theta sweeps during memory-guided navigation.

Nature neuroscience·2026
Same journal

Connectomic evidence that ordered activity drives neuromuscular network formation.

Nature neuroscience·2026
See all related articles

Related Experiment Video

Updated: Jun 20, 2026

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

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

Coding of stimulus sequences by population responses in visual cortex.

Andrea Benucci1, Dario L Ringach, Matteo Carandini

  • 1University College London Institute of Ophthalmology, University College London, London, UK. a.benucci@ucl.ac.uk

Nature Neuroscience
|September 15, 2009
PubMed
Summary
This summary is machine-generated.

Neurons in the visual cortex (V1) use spatiotemporal codes to process sensory input. V1 population responses to successive stimuli combine linearly, suggesting independent spatial and temporal coding.

More Related Videos

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

Laser-scanning Photostimulation of Optogenetically Targeted Forebrain Circuits
07:43

Laser-scanning Photostimulation of Optogenetically Targeted Forebrain Circuits

Published on: December 27, 2013

Related Experiment Videos

Last Updated: Jun 20, 2026

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

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

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

Laser-scanning Photostimulation of Optogenetically Targeted Forebrain Circuits
07:43

Laser-scanning Photostimulation of Optogenetically Targeted Forebrain Circuits

Published on: December 27, 2013

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Sensory Coding

Background:

  • Neuronal populations in the sensory cortex encode time-varying sensory information using complex spatiotemporal codes.
  • Understanding the precise rules governing these neural codes is crucial for deciphering brain function.

Purpose of the Study:

  • To investigate the rules governing the spatiotemporal code used by neuronal populations in the cat visual cortex (V1).
  • To characterize how population responses to single orientations combine to represent successive stimuli.

Main Methods:

  • Measured membrane potentials and spikes from neuronal populations in cat V1 using voltage-sensitive dyes and electrode arrays.
  • Analyzed population tuning width for both membrane potential and spike responses.
  • Investigated the summation properties of responses to successive visual orientations.

Main Results:

  • Population tuning width remained constant for membrane potentials but sharpened for spikes as response amplitude increased.
  • Responses to successive orientations combined via linear summation.
  • A violation of linearity was observed post-stimulus offset, indicating response persistence.

Conclusions:

  • The findings suggest that higher cortical areas can decode stimulus sequences from V1 population responses using a simple instantaneous decoder.
  • Spatial and temporal codes in V1 appear to operate largely independently.