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Vision

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.

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Related Experiment Video

Updated: May 1, 2026

Targeted Labeling of Neurons in a Specific Functional Micro-domain of the Neocortex by Combining Intrinsic Signal and Two-photon Imaging

Targeted Labeling of Neurons in a Specific Functional Micro-domain of the Neocortex by Combining Intrinsic Signal and Two-photon Imaging

Published on: December 12, 2012

Millimeter-scale selective amplification in the developing visual cortex.

Haleigh N Mulholland^1,2, Sigrid Trägenap^3,2, Matthias Kaschube^3,4

¹Optical Imaging & Brain Science Medical Discovery Team, Department of Neuroscience, University of Minnesota, Minneapolis, MN, 55455, USA.

Biorxiv : the Preprint Server for Biology

|April 10, 2026

Summary

This summary is machine-generated.

Cortical networks amplify inputs aligned with their internal structure, enhancing sensory representations. This selective amplification refines perception during early development.

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Area of Science:

Neuroscience
Computational Neuroscience
Developmental Neuroscience

Background:

Cortical processing is thought to involve selective amplification by recurrent networks.
It is unclear if this selective amplification occurs in millimeter-scale networks relevant to perception.

Purpose of the Study:

To investigate whether cortical networks preferentially amplify inputs aligned with endogenous subnetworks.
To understand how this amplification impacts sensory representation stability and specificity.

Main Methods:

Utilized patterned optogenetic stimulation guided by computational models.
Employed calcium imaging in immature ferret visual cortex.
Analyzed spontaneous activity to infer dominant subnetworks.

Main Results:

Cortical networks showed preferential activation for inputs aligned with endogenous recurrent subnetworks.
Response reliability and specificity depended on input overlap with dominant modes.
Well-aligned inputs were selectively amplified, yielding more stable and specific responses.

Conclusions:

Early cortical networks leverage endogenous dynamics for selective amplification.
This process stabilizes and refines sensory representations during development.