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

Symmetry01:26

Symmetry

The equation of an ellipse centered at the origin defines all points whose distances from the center maintain a constant ratio between the horizontal and vertical axes. This equation results in a smooth, closed curve that extends further along the x-axis than the y-axis, giving it a horizontal orientation. Such an ellipse demonstrates three kinds of symmetry: across the x-axis, across the y-axis, and about the origin. These symmetries are essential in understanding the graph's structure and...
Gauss's Law: Planar Symmetry01:27

Gauss's Law: Planar Symmetry

A planar symmetry of charge density is obtained when charges are uniformly spread over a large flat surface. In planar symmetry, all points in a plane parallel to the plane of charge are identical with respect to the charges. Suppose the plane of the charge distribution is the xy-plane, and the electric field at a space point P with coordinates (x, y, z) is to be determined. Since the charge density is the same at all (x, y) - coordinates in the z = 0 plane, by symmetry, the electric field at P...
Eccentric Axial Loading in a Plane of Symmetry01:16

Eccentric Axial Loading in a Plane of Symmetry

Eccentric axial loading occurs when an axial load is applied away from the centroidal axis of a structural member. This scenario is common in engineering, where structural elements may not be directly aligned due to various design or functional requirements.

You might also read

Related Articles

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

Sort by
Same author

Encoding performance of cortical neurons critically depends on their morphological and neurophysiological properties.

PLoS biology·2026
Same author

Millimeter-scale selective amplification in the developing visual cortex.

bioRxiv : the preprint server for biology·2026
Same author

Representational drift reflects ongoing balancing of stochastic changes by Hebbian learning.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

DNA-PAINT resolves E-cadherin-independent cross-junctional F-actin organization in Drosophila embryonic tissue.

Biophysical journal·2026
Same author

Principles of cortical interactions in modular recurrent networks.

bioRxiv : the preprint server for biology·2025
Same author

Charting the nanotopography of inner hair cell synapses using MINFLUX nanoscopy.

Science advances·2025

Related Experiment Video

Updated: May 17, 2026

Functional Magnetic Resonance Imaging (fMRI) of the Visual Cortex with Wide-View Retinotopic Stimulation
07:11

Functional Magnetic Resonance Imaging (fMRI) of the Visual Cortex with Wide-View Retinotopic Stimulation

Published on: December 8, 2023

Coordinated optimization of visual cortical maps (I) symmetry-based analysis.

Lars Reichl1, Dominik Heide, Siegrid Löwel

  • 1Max-Planck-Institute for Dynamics and Self-Organization, Göttingen, Germany. reichl@nld.ds.mpg.de

Plos Computational Biology
|November 13, 2012
PubMed
Summary

This study explores if visual cortical maps, like orientation preference (OP) and ocular dominance (OD), are optimal solutions. Using a dynamical systems approach, it reveals how different optimization principles predict distinct map structures, aiding inference from biological data.

More Related Videos

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

Monocular Visual Deprivation and Ocular Dominance Plasticity Measurement in the Mouse Primary Visual Cortex
08:42

Monocular Visual Deprivation and Ocular Dominance Plasticity Measurement in the Mouse Primary Visual Cortex

Published on: February 8, 2020

Related Experiment Videos

Last Updated: May 17, 2026

Functional Magnetic Resonance Imaging (fMRI) of the Visual Cortex with Wide-View Retinotopic Stimulation
07:11

Functional Magnetic Resonance Imaging (fMRI) of the Visual Cortex with Wide-View Retinotopic Stimulation

Published on: December 8, 2023

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

Monocular Visual Deprivation and Ocular Dominance Plasticity Measurement in the Mouse Primary Visual Cortex
08:42

Monocular Visual Deprivation and Ocular Dominance Plasticity Measurement in the Mouse Primary Visual Cortex

Published on: February 8, 2020

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Theoretical Neuroscience

Background:

  • The functional architecture of the primary visual cortex features maps of stimulus features like orientation preference (OP) and ocular dominance (OD).
  • A key question is whether these maps represent optimal states of an energy functional, reflecting underlying design principles.
  • Recent findings show orientation columns follow species-invariant laws, demanding rigorous evaluation of optimization hypotheses.

Purpose of the Study:

  • To investigate if visual cortical maps are optima of specific energy functionals.
  • To explore how different optimization principles impact predicted map structures.
  • To develop methods for inferring optimization principles from observed map layouts.

Main Methods:

  • Developed a dynamical systems approach for combined optimization of visual cortical maps (OP and another feature like OD or spatial frequency).
  • Classified inter-map coupling energies based on symmetry assumptions.
  • Examined how different coupling energies lead to distinct map correlations and solutions.

Main Results:

  • Each coupling energy yields unique OP map solutions with varying inter-map correlations.
  • The study demonstrates that inferences about optimization principles from map layout are feasible.
  • Quantitative laws observed experimentally can emerge from coordinated optimization of orientation columns with other feature maps.

Conclusions:

  • The dynamical systems approach provides a framework for understanding coordinated optimization of cortical maps.
  • The findings suggest that specific energy functionals can predict observed cortical map structures.
  • This work bridges theoretical models and experimental observations in visual cortex organization.