A Tree-Like Model for Brain Growth and Structure
Joint Authors
Yan, Benjamin C.
Yan, Johnson F.
Source
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
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