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

Anatomy of the Eyeball01:20

Anatomy of the Eyeball

8.4K
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...
8.4K
The Retina01:32

The Retina

56.5K
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.
56.5K
Vision01:24

Vision

48.5K
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.
48.5K

You might also read

Related Articles

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

Sort by
Same author

Pth4 neurons define a novel hypothalamic circuit that promotes sleep via brainstem monoaminergic neurons.

Current biology : CB·2025
Same author

Pth4 neurons define a novel hypothalamic circuit that promotes sleep via brainstem monoaminergic neurons.

bioRxiv : the preprint server for biology·2025
Same author

Early-life challenge enhances cortisol regulation in zebrafish larvae.

Biology open·2024
Same author

Cortisol dynamics and GR-dependent feedback regulation in zebrafish larvae exposed to repeated stress.

Biology open·2024
Same author

Exposure to elevated glucocorticoid during development primes altered transcriptional responses to acute stress in adulthood.

iScience·2024
Same author

Optogenetic induction of chronic glucocorticoid exposure in early-life leads to blunted stress-response in larval zebrafish.

The European journal of neuroscience·2024

Related Experiment Video

Updated: Apr 23, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

6.2K

Classification of object size in retinotectal microcircuits.

Stephanie J Preuss1, Chintan A Trivedi1, Colette M vom Berg-Maurer2

  • 1Neural Circuits and Behavior Research Group, Department of Biomedical Optics, Max Planck Institute for Medical Research, 69120 Heidelberg, Germany.

Current Biology : CB
|September 23, 2014
PubMed
Summary
This summary is machine-generated.

The zebrafish visual system processes object size in distinct retinal ganglion cell (RGC) pathways. These pathways project to specific layers in the optic tectum for size-based visual classification and behavioral response selection.

More Related Videos

In Vivo Dynamics of Retinal Microglial Activation During Neurodegeneration: Confocal Ophthalmoscopic Imaging and Cell Morphometry in Mouse Glaucoma
12:48

In Vivo Dynamics of Retinal Microglial Activation During Neurodegeneration: Confocal Ophthalmoscopic Imaging and Cell Morphometry in Mouse Glaucoma

Published on: May 11, 2015

10.4K
Optical Coherence Tomography: Imaging Mouse Retinal Ganglion Cells In Vivo
08:17

Optical Coherence Tomography: Imaging Mouse Retinal Ganglion Cells In Vivo

Published on: September 22, 2017

19.0K

Related Experiment Videos

Last Updated: Apr 23, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

6.2K
In Vivo Dynamics of Retinal Microglial Activation During Neurodegeneration: Confocal Ophthalmoscopic Imaging and Cell Morphometry in Mouse Glaucoma
12:48

In Vivo Dynamics of Retinal Microglial Activation During Neurodegeneration: Confocal Ophthalmoscopic Imaging and Cell Morphometry in Mouse Glaucoma

Published on: May 11, 2015

10.4K
Optical Coherence Tomography: Imaging Mouse Retinal Ganglion Cells In Vivo
08:17

Optical Coherence Tomography: Imaging Mouse Retinal Ganglion Cells In Vivo

Published on: September 22, 2017

19.0K

Area of Science:

  • Neuroscience
  • Visual System Function
  • Comparative Biology

Background:

  • The visual system must detect and classify moving objects, with object size crucial for behavioral responses.
  • Retinal ganglion cells (RGCs) encode object size, but their projection patterns to higher visual centers remain unclear.
  • Understanding how RGC subtypes contribute to visual processing is essential.

Purpose of the Study:

  • To investigate the retinal origin of size classification in the zebrafish optic tectum.
  • To determine how object size information is organized and processed within the tectum.
  • To elucidate the role of RGC inputs in visually guided behavior.

Main Methods:

  • Analysis of retinal ganglion cell (RGC) fiber activity in response to moving targets of varying sizes in zebrafish.
  • Layer-specific examination of RGC input distribution within the optic tectum.
  • Investigation of neuronal responses in tectal circuits, including superficial interneurons (SINs).

Main Results:

  • Distinct RGC fiber populations in the zebrafish optic tectum respond to different target sizes, confirming a retinal basis for size classification.
  • Small-size-selective RGC inputs are concentrated in superficial tectal layers, while large-size-selective inputs are found in deeper layers.
  • Separate populations of tectal neurons encode small and large objects, with superficial interneurons processing size information based on their dendritic layer.

Conclusions:

  • The zebrafish optic tectum preferentially processes ethologically relevant object size classes in distinct layers.
  • The tectum categorizes visual targets using size information computed by the retina, playing a key role in selecting visually guided responses.