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

You might also read

Related Articles

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

Sort by
Same author

Unraveling the role of asymmetric excitatory and inhibitory synaptic inputs to retinal ganglion cell direction selectivity.

Frontiers in neuroscience·2026
Same author

Connectome of a human foveal retina.

bioRxiv : the preprint server for biology·2025
Same author

'SOMS BrainSpace': A digital serious game for undergraduate neuroscience.

Anatomical sciences education·2025
Same author

Filter-based models of suppression in retinal ganglion cells: Comparison and generalization across species and stimuli.

PLoS computational biology·2025
Same author

Multi-Frequency Interpolation X-talk Removal Algorithm: Enabling Combinations of Concurrent Optogenetics and Lock-in Amplification Fiber Photometry via Removal of Optogenetic Stimulation Crosstalk.

ACS chemical neuroscience·2025
Same author

Systemic TRPV4 inhibition worsens retinal response to acute intraocular pressure elevation in older but not younger mice.

Optometry and vision science : official publication of the American Academy of Optometry·2025

Related Experiment Video

Updated: Oct 12, 2025

Topographical Estimation of Visual Population Receptive Fields by fMRI
06:02

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

9.4K

Rapid Analysis of Visual Receptive Fields by Iterative Tomography.

Calvin D Eiber1,2,3, Jin Y Huang2, Spencer C Chen3

  • 1Save Sight Institute, The University of Sydney, Sydney, New South Wales 2000, Australia.

Eneuro
|November 20, 2021
PubMed
Summary

A new tomographic image analysis method, Non-negative Matrix Factorization-Iterative Reconstruction Tomography (NNMF-IRT), rapidly maps both linear and nonlinear visual receptive fields in early visual systems. This technique provides high-resolution insights into neural processing in primates and rodents.

Keywords:
lateral geniculate nucleusmarmosetreceptive fieldretinasensory codingvision

More Related Videos

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

19.6K
Using Optical Coherence Tomography and Optokinetic Response As Structural and Functional Visual System Readouts in Mice and Rats
07:08

Using Optical Coherence Tomography and Optokinetic Response As Structural and Functional Visual System Readouts in Mice and Rats

Published on: January 10, 2019

10.2K

Related Experiment Videos

Last Updated: Oct 12, 2025

Topographical Estimation of Visual Population Receptive Fields by fMRI
06:02

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

9.4K
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

19.6K
Using Optical Coherence Tomography and Optokinetic Response As Structural and Functional Visual System Readouts in Mice and Rats
07:08

Using Optical Coherence Tomography and Optokinetic Response As Structural and Functional Visual System Readouts in Mice and Rats

Published on: January 10, 2019

10.2K

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Visual System Research

Background:

  • Early visual receptive fields exhibit linear (center-surround) and nonlinear (direction selectivity) properties.
  • Traditional methods often study these components separately using distinct stimuli and models.
  • Characterizing both linear and nonlinear receptive field aspects simultaneously is crucial for a comprehensive understanding.

Purpose of the Study:

  • To develop and validate a novel method for rapid and simultaneous characterization of linear and nonlinear visual receptive field components.
  • To apply this method to map receptive fields in primate and rodent early visual systems.
  • To correlate neural receptive field maps with underlying neuronal anatomy.

Main Methods:

  • Utilized Non-negative Matrix Factorization (NNMF) and Iterative Reconstruction Tomography (IRT) on spiking and voltage potential responses to flashed bars.
  • Applied the NNMF-IRT method to individual neurons and ensembles in marmoset lateral geniculate nucleus and mouse retina.
  • Combined NNMF-IRT with patch-clamp recording and dye injection in rodent retina.

Main Results:

  • Achieved high-resolution receptive field maps for individual neurons and ensembles.
  • Demonstrated that the first two IRT components represent standard center-surround receptive fields (DoG-equivalent) in primate geniculate.
  • Revealed spatiotemporal receptive field structure of nonstandard on/off-rectifying receptive fields.
  • Successfully mapped spatial receptive fields to specific retinal neuron anatomy in rodents.

Conclusions:

  • NNMF-IRT is a rapid and flexible framework for analyzing visual receptive fields.
  • The method effectively distinguishes and maps both linear and nonlinear receptive field components.
  • This approach offers a powerful tool for advancing research in the early visual system across species.