Okamoto M, Hayashi K
Department of Biochemical Engineering and Science, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, Fukuoka, Japan.
Biosystems. 1990;24(1):39-52. doi: 10.1016/0303-2647(90)90028-y.
As a first step to network study, a series of integrated biochemical switching systems (prototype of artificial neuronic device) was assumed based on Rosen's work and on the results of our previous studies. The effects of an excitatory stimulus on the switching properties of the proposed system were examined using computer simulations. The results can be summarized as follows: (i) the number of excited elements in sequentially connected systems is proportionally related to the value of the excitatory stimulus; (ii) when the introduction of the excitatory stimulus is too late, it can no longer be transmitted to any elements; (iii) the excitatory stimulus (signal) is amplified to a certain limit and is attenuated during propagation; (iv) by assuming several excitatory stimuli and varying their frequencies, the so-called long-term potentiation phenomenon can be observed; (v) supposing reversible interactions between two elements, a continuous switching pattern of the output is observed.
作为网络研究的第一步，基于罗森的研究工作以及我们之前的研究成果，设想了一系列集成生化开关系统（人工神经元装置原型）。使用计算机模拟研究了兴奋性刺激对所提出系统开关特性的影响。结果总结如下：（i）在顺序连接系统中，被激发元素的数量与兴奋性刺激的值成比例关系；（ii）当兴奋性刺激引入过晚时，它将无法再传递给任何元素；（iii）兴奋性刺激（信号）在传播过程中被放大到一定限度后会衰减；（iv）通过假设有多个兴奋性刺激并改变它们的频率，可以观察到所谓的长时程增强现象；（v）假设两个元素之间存在可逆相互作用，则可观察到输出的连续开关模式。
