A Tree-Like Model for Brain Growth and Structure

Joint Authors

Yan, Benjamin C.
Yan, Johnson F.

Source

Journal of Biophysics

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-5, 5 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-09-02

Country of Publication

Egypt

No. of Pages

5

Main Subjects

Biology

Abstract EN

The Flory-Stockmayer theory for the polycondensation of branched polymers, modified for finite systems beyond the gel point, is applied to the connection (synapses) of neurons, which can be considered highly branched “monomeric” units.

Initially, the process is a linear growth and tree-like branching between dendrites and axons of nonself-neurons.

After the gel point and at the maximum “tree” size, the tree-like model prescribes, on average, one pair of twin synapses per neuron.

About 13% of neurons, “unconnected” to the maximum tree, migrate to the surface to form cortical layers.

The number of synapses in each neuron may reach 10000, indicating a tremendous amount of flexible, redundant, and neuroplastic loop-forming linkages which can be preserved or pruned by experience and learning.

American Psychological Association (APA)

Yan, Benjamin C.& Yan, Johnson F.. 2013. A Tree-Like Model for Brain Growth and Structure. Journal of Biophysics،Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-456645

Modern Language Association (MLA)

Yan, Benjamin C.& Yan, Johnson F.. A Tree-Like Model for Brain Growth and Structure. Journal of Biophysics No. 2013 (2013), pp.1-5.
https://search.emarefa.net/detail/BIM-456645

American Medical Association (AMA)

Yan, Benjamin C.& Yan, Johnson F.. A Tree-Like Model for Brain Growth and Structure. Journal of Biophysics. 2013. Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-456645

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-456645