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Modeling of alive neural network memory as Glushkov developing system of neuron interaction by differential equation with delay

机译:活神经网络记忆作为神经元相互作用的Glushkov开发系统的时滞微分方程建模

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In this paper is an attempt to model biophysical processes of sensory information memorizing by extra large ensemble of live brain neurons. Also reviewed the possibility of modeling of extract such information from the memory. Studies are based on using the accumulated experimental data in the literature about the brain neurophysiology and mathematical methods of developing systems theory formulated by Glushkov.
机译:本文尝试通过超大型的活脑神经元集成来模拟感官信息的生物物理过程。还回顾了建模从存储器中提取此类信息的可能性。研究是基于使用Glushkov提出的有关脑神经生理学和开发系统理论的数学方法的文献中积累的实验数据进行的。

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