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Related Concept Videos

Vision01:24

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.
Plasticity00:58

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Plasticity is the property where an object loses its elasticity and undergoes irreversible deformation, even after the deformation forces are eliminated. If a material deforms irreversibly without increasing stress or load, then this is called ideal plasticity. For example, when a force is applied to an aluminum rod, it changes its shape, but it does not return to its original shape once the force is removed. Plastic deformation or ductility is thus a permanent deformation or change in the...
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In the CNS, neurogenesis, the birth of new neurons from stem cells, is limited to the hippocampus in adults. In other regions of the brain and spinal cord, neurogenesis is almost non-existent due to inhibitory influences from neuroglia, especially oligodendrocytes, and the absence of growth-stimulating cues. The myelin produced by oligodendrocytes in the CNS inhibits neuronal regeneration. Furthermore, astrocytes proliferate rapidly after neuronal damage, forming scar tissue that physically...
Spinal Cord: Cross-sectional Anatomy01:16

Spinal Cord: Cross-sectional Anatomy

The cross-sectional anatomy of the spinal cord offers a detailed view of its complex structure and function within the central nervous system. At the core of the spinal cord lies the gray matter, characterized by its butterfly or "H"-shaped appearance in cross-section. This central region is enveloped by white matter, with the overall structure divided into symmetrical halves by the dorsal median sulcus and the ventral median fissure.
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Central to the gray matter is...
Anatomy of the Eyeball01:20

Anatomy of the Eyeball

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 layer, the vascular tunic,...
Neuroplasticity01:01

Neuroplasticity

Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.

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Related Experiment Video

Updated: Jul 18, 2026

A Highly Reproducible and Straightforward Method to Perform In Vivo Ocular Enucleation in the Mouse after Eye Opening
05:29

A Highly Reproducible and Straightforward Method to Perform In Vivo Ocular Enucleation in the Mouse after Eye Opening

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Axonal processes and neural plasticity.I: Ocular dominance columns

T Elliott1, C I Howarth, N R Shadbolt

  • 1Department of Psychology, University of Nottingham, UK.

Cerebral Cortex (New York, N.Y. : 1991)
|November 1, 1996
PubMed
Summary

Computational models explain ocular dominance column formation via axonal sprouting, not synaptic changes. These models offer testable predictions for visual cortex development and structure.

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Last Updated: Jul 18, 2026

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05:29

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Published on: October 6, 2014

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Published on: September 20, 2024

Area of Science:

  • Neuroscience
  • Computational Biology
  • Developmental Biology

Background:

  • Ocular dominance columns (ODCs) are fundamental to visual processing.
  • Existing models often rely on synapse-specific Hebbian learning, lacking strong experimental support for normalization mechanisms.

Purpose of the Study:

  • To present novel computational models of ODC formation.
  • To explore nervous system plasticity through axonal remodeling rather than synaptic modification.
  • To provide testable predictions for experimental validation.

Main Methods:

  • Utilized statistical mechanics to simulate network connectivity patterns.
  • Developed models based on an energy function related to neurotrophin competition.
  • Contrasted the proposed models with synapse-specific Hebbian models.

Main Results:

  • Both models demonstrate phase transitions, indicating discontinuous shifts in cortical organization.
  • One model predicts poorly innervated boundaries under asynchronous retinal activation.
  • The other model explains the perpendicularity of ODCs in the primary visual cortex.

Conclusions:

  • Axonal sprouting and retraction are viable mechanisms for ODC formation.
  • The models offer alternative explanations for ODC development, challenging existing paradigms.
  • Experimental investigation is crucial to validate the models' predictions regarding visual cortex plasticity.