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 Experiment Videos

Microcircuits in visual cortex.

Kevan A C Martin1

  • 1Institute of NeuroInformatics, University of Zurich and Eidgenössische Technische Hochschule (ETH), Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland. kevan@ini.phys.ethz.ch

Current Opinion in Neurobiology
|July 26, 2002
PubMed
Summary
This summary is machine-generated.

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

A strong direct link from the layer 3/4 border to layer 6 of cat primary visual cortex.

Brain structure & function·2024
Same author

Allometry: Alice in Pinwheel Land.

Current biology : CB·2021
Same author

Structure and function of a neocortical synapse.

Nature·2021
Same author

Translaminar circuits formed by the pyramidal cells in the superficial layers of cat visual cortex.

Brain structure & function·2017
Same author

A biological blueprint for the axons of superficial layer pyramidal cells in cat primary visual cortex.

Brain structure & function·2017
Same author

Synaptic connections formed by patchy projections of pyramidal cells in the superficial layers of cat visual cortex.

Brain structure & function·2017
Same journal

Cichlid fish as a model for understanding social dysfunction.

Current opinion in neurobiology·2026
Same journal

On aims and methods in field neuroethology: Investigating neural mechanisms of behavior in semi-natural and natural contexts.

Current opinion in neurobiology·2026
Same journal

Neurobiological interfaces connecting environmental change to monarch butterfly migration.

Current opinion in neurobiology·2026
Same journal

Learning how to experience the world: From circuits to cell types to genes.

Current opinion in neurobiology·2026
Same journal

Editorial overview for neurobiology of disease 2026.

Current opinion in neurobiology·2026
Same journal

Optical voltage imaging: ready to spark systems neuroscience.

Current opinion in neurobiology·2026
See all related articles

Investigating neocortical microcircuits reveals complex local circuitry. Newer models emphasize recurrent connections, offering more realistic and computationally rich representations of brain function.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Neocortical microcircuits exhibit intricate anatomical detail, yet consensus on their physiological function, development, and operational principles remains elusive.
  • Previous research on cortical orientation representation faced challenges in establishing clear circuit models.
  • Older models primarily focused on simplified feedforward circuits.

Purpose of the Study:

  • To explore the role of recurrent cortical circuits in neocortical function.
  • To integrate advanced modeling techniques with experimental data for a more realistic understanding of cortical circuitry.
  • To investigate the computational richness of newer circuit models.

Main Methods:

  • Utilizing advanced optical imaging techniques combined with anatomical and physiological analyses.

Related Experiment Videos

  • Developing and employing computational models to simulate and analyze cortical circuit dynamics.
  • Comparing feedforward and recurrent circuit models in the context of cortical representation.

    • Main Results:

    • Experimental evidence highlights a rich local cortical circuitry.
    • Newer theoretical models increasingly incorporate recurrent cortical circuits.
    • Recurrent circuit models provide more computationally rich and realistic representations compared to feedforward models.

    Conclusions:

    • Recurrent cortical circuits are crucial for understanding neocortical function.
    • Advanced experimental and modeling approaches are essential for deciphering complex brain circuitry.
    • Future research should focus on the computational implications of recurrent network dynamics in the neocortex.