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胼胝体的神经网络模拟。

Neural net simulation of the corpus callosum.

作者信息

Anninos P A, Cook N D

机构信息

Department of Medicine, Democrition University of Thraki, Greece.

出版信息

Int J Neurosci. 1988 Feb;38(3-4):381-91. doi: 10.3109/00207458808990698.

DOI:10.3109/00207458808990698
PMID:3372153
Abstract

The effects of simulated anatomical and physiological parameters were investigated in a "neural net" model, where two neural nets corresponding to two small patches of cerebral cortex were connected by a simulated "corpus callosum." The isolated neural nets have previously been shown to exhibit oscillatory activity similar to the raw EEG. By connecting the nets with fibers which have a specified percentage of inhibition and a specified percentage of homotopicity, the effects of such parameters on the cyclic activity of the nets were studied. It was found that, regardless of the inhibitory-excitatory nature of the simulated corpus callosum, the cyclic activity established in one hemisphere is more readily transferred to the contralateral hemisphere, the greater the percentage of homotopic callosal fibers. Learning was more rapid when the effect of the corpus callosum was primarily excitatory, but learning also took place over inhibitory or mixed callosal tracts. The simulation does not therefore resolve the issue of the predominant physiological effect of the corpus callosum, but does indicate that, given the assumptions of the simulation, "learning" can occur regardless of the percentage of excitatory or inhibitory fibers. It is noteworthy that homotopicity was more important for learning across an inhibitory tract than across an excitatory tract.

摘要

在一个“神经网络”模型中研究了模拟解剖学和生理学参数的影响,其中对应于大脑皮层两个小区域的两个神经网络通过模拟的“胼胝体”连接。先前已证明孤立的神经网络表现出类似于原始脑电图的振荡活动。通过用具有特定抑制百分比和特定同调性百分比的纤维连接网络,研究了这些参数对网络循环活动的影响。结果发现,无论模拟胼胝体的抑制 - 兴奋性质如何,同调性胼胝体纤维的百分比越高,在一个半球建立的循环活动就越容易转移到对侧半球。当胼胝体的作用主要是兴奋性时,学习速度更快,但学习也可通过抑制性或混合性胼胝体束发生。因此,该模拟并未解决胼胝体主要生理作用的问题,但确实表明,在模拟的假设条件下,无论兴奋性或抑制性纤维的百分比如何,“学习”都可能发生。值得注意的是,同调性对于通过抑制性束的学习比通过兴奋性束的学习更为重要。

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