Research Of Spiking Neural P Systems Based On Microfluidic Chip

After the microelectronic technology has been improved and perfected,the limitation of physical properties of the integrated circuit will be highlighted.In today's computer science,finding alternatives to traditional chips is a hot spot for improving computer performance in order to break down this limitation.Membrane calculation,as an important branch of biological computing,is a hot topic in current bio-computing research.It has the characteristics of non-deterministic,maximal parallelism and distributed.In the field of computer science,the study of membrane computing model has important application value,and also has a new theoretical significance in the modeling of biological system.However,the research is on the traditional computer,because of its limitations and can not fully reflect the characteristics of membrane computing.The microfluidic chip is used to fabricate the networked microchannel,detection and control module integrated into the nano-scale operating environment,which is the carrier of microfluidic technology.And the microfluidic chip as a hardware platform,its high degree of parallel ability has an irreplaceable advantage.In this paper,the microfluidic chip is used as the hardware platform to realize the membrane computing,and the basic functions of the microprocessor are realized by combining the characteristics of miniaturization,integration and parallelism.Based on the characteristics of membrane computing,the model of logical operation and arithmetic operation is designed,and the operation of signed number is realized.The number of its inputs is entered in the form of binary complement code,and is output in the form of binary complement code after the end of the operation.And the calculation steps of the model and the simulation results of MeCoSim software are described in detail.On the basis of this,the use of polystyrenes instead of spikes of Spiking Neural P systems.Based on Coulter counter,dielectrophoresis separation,pneumatic micro valve and fluid drive module of the microfluidic chip,logic and arithmetic operation chip based on membrane computing model was designed.The detection signal is collected and processed by FPGA,and the chip electrode and the micro valve are controlled by the return signal.After the research of the gradual deepening of the membrane computing,the shortcomings of the traditional computer have gradually revealed.With the increasing complexity of the model,the number of neurons and spikes increases exponentially,which leads to the low efficiency of information processing.And the characteristics of the maximum parallelism of the membrane computing can not be reflected on the traditional computer.For a long time,many scholars rarely study its hardware implementation,most are devoted to the study of membrane computing theory and modeling.Therefore,it is necessary to design and implement a microfluidic chip which integrates various structural functions and has a specific function in combination with the idea of membrane calculation.This can improve the accuracy of computing,but also solve the problem of physical limitations,and thus promote the research of biological computers.Combining the advantages of the parallel calculation of the membrane with the miniaturization of the microfluidic chip,it is possible that the "CPU" based on the membrane computing can be realized in the near future.Therefore,it is of great academic and practical significance to research of Spiking Neural P Systems based on microfluidic chip.