A tree-like model for brain growth and structure.

Benjamin C Yan, Johnson F Yan
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引用次数: 1

Abstract

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.

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大脑生长和结构的树形模型。
分支聚合物缩聚的弗洛里-斯托克梅耶理论,对凝胶点以外的有限系统进行了修改,应用于神经元的连接(突触),神经元可以被认为是高度分支的“单体”单位。最初,这一过程在非自体神经元的树突和轴突之间呈线性生长和树形分支。在凝胶点和最大“树”大小之后,树形模型规定,平均而言,每个神经元有一对孪生突触。大约13%的神经元,“未连接”到最大树,迁移到表面形成皮层。每个神经元的突触数量可能达到10000个,这表明有大量的灵活的、冗余的和神经可塑性的环路形成的联系,这些联系可以通过经验和学习来保存或修剪。
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