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Communication in nano devices: Electronic based biophysical model of a neuron
Nano Communication Networks ( IF 2.9 ) Pub Date : 2019-01-25 , DOI: 10.1016/j.nancom.2019.01.006
M. Emin Tagluk , Ibrahim Isik

Investigating new strategies and signaling techniques for nano-devices and systems is quite challenging. The communication systems considered to be feasible in nano-devices are inspired from biophysical systems which communicate with electro-chemical signals organized with respect to excitation. While the electrical pulses transmitted along with the cell membrane the chemical signal transmitted in the synaptic cleft. Developing new chemical signal based communication which termed as the molecular communication with minimum error is now the central deal for the researchers. Strategic approaches to the issue in variety of perspective such as systematic, experimental and electronic circuitry viable for chip based robotic and nano-device design are now available in the literature. Biological signaling pathways, in accordance with the action potentials generated in pre-synaptic neuron some chemical substances called neurotransmitters released into the synaptic cleft and hence the post-synaptic neuron is accordingly triggered. In this way the information transmitted from one cell to another by electro chemical signal carriers. About this process some electronic neuron models have also been introduced to simulate dynamic behavior of neuronal cells. In this study, a novel simple electronic integrate and fire model which has been designed previously was further developed and used to simulate and analyze the communication of neurons. The proposed electronic model not only simulates the neuronal cell’s behavior and also can transmit the information to the following neuron. The rate of correct transmission depends on the synaptic channel model. The characteristics of the used semiconductor components with overall structure of the proposed electronic model are very close to the biophysical nature of neuron and can be designed on semiconductor chips which is the advantage of the model.



中文翻译:

纳米设备中的通信:神经元的基于电子的生物物理模型

为纳米设备和系统研究新的策略和信号技术是非常具有挑战性的。被认为在纳米设备中可行的通信系统是受生物物理系统启发的,该生物物理系统与就激发而组织的电化学信号进行通信。当电脉冲与细胞膜一起传输时,化学信号在突触间隙中传输。开发新的基于化学信号的通信(称为分子通信且具有最小的误差)现在是研究人员的核心任务。文献中现已提供了从各种角度出发解决该问题的战略方法,例如适用于基于芯片的机器人和纳米设备设计的系统,实验和电子电路。生物信号传导途径 根据突触前神经元中产生的动作电位,一些称为神经递质的化学物质释放到突触间隙中,因此相应地触发了突触后神经元。通过这种方式,信息通过电化学信号载体从一个单元传输到另一个单元。关于此过程,还引入了一些电子神经元模型来模拟神经元细胞的动态行为。在这项研究中,进一步开发了先前设计的新型简单电子集成和射击模型,并将其用于模拟和分析神经元的通信。所提出的电子模型不仅可以模拟神经元细胞的行为,还可以将信息传输到随后的神经元。正确传输的速率取决于突触通道模型。

更新日期:2019-01-25
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