Guillain-Barre syndrome is a rare neurological condition in which the human immune system attacks the peripheral nervous system. A peripheral nervous system appears as a diffusively connected system of mathematical models of neuron models, and the system's period becomes shorter than the periods of each neural circuit. The stimuli in the conduction path that will address the myelin sheath that has lost its function are received by the axons and are conveyed externally to the target organ, aiming to solve the problem of decreased nerve conduction. In the NEURON simulation environment, one can create a neuron model and define biophysical events that take place within the system for study. In this environment, signal transmission between cells and dendrites is obtained graphically. The simulated potassium and sodium conductance are replicated adequately, and the electronic action potentials are quite comparable to those measured experimentally. In this work, we propose an analog and digital coupled neuron model comprising individual excitatory and inhibitory neural circuit blocks for a low-cost and energy-efficient system. Compared to digital design, our analog design performs in lower frequency but gives a 32.3\% decreased energy efficiency. Thus, the resulting coupled analog hardware neuron model can be a proposed model for the simulation of reduced nerve conduction. As a result, the analog coupled neuron, (even with its greater design complexity) serious contender for the future development of a wearable sensor device that could help with Guillain-Barre syndrome and other neurologic diseases.
翻译:内衣- 内衣- 内衣- 内衣综合症是人类免疫系统攻击外围神经系统的一种罕见的神经神经系统。 外围神经系统似乎是一个神经模型数学模型的松散连接系统, 神经模型的数学模型系统, 该系统的周期比神经电路的周期短。 导电路中将处理失去功能的心肌纤维的刺激被轴接收, 并被外部传送到目标器官, 目的是解决神经导体衰减的问题。 在NEURRON模拟环境中, 人们可以创建一个神经模型, 并定义在系统内进行研究的生物物理事件。 在这个环境中, 以图形方式获得细胞和定型体之间的信号传输。 模拟钾和钠导体导体的功能将充分复制, 电子动作潜力与实验性能力相当。 在这项工作中, 我们提出一个模拟和数字模型, 由个人解析和抑制性神经导体电路块组成, 与数字设计相比, 我们的模拟模型在较低频率下进行, 将产生一个稳定的神经结构模型, 并导致一个更严重的神经结构结构的模拟 效率降低。 因此,, 将提出一个模拟的模拟 将产生一个模拟 。