Throughput Analysis In Neuro-spike Communication With Synaptic Plasticity

Neuro-spike communication can realize the cooperative communication between bionic nano-robots and thereby playing an important role in the fields of military,biochemical and therapeutic.In contrast to the traditional electromagnetic signals,communication between neurons is based on electrical and chemical signals.When the spike reaches,vesicle are released by the input neuron,and the neurotransmitters in the vesicles reach the specific receptors on the output neurons in the form of diffusion through the exocytosis process,completing the interaction of information between the neurons.This communication process is called neuro-spike communication.It is critical for realizing neuro-spike communication to model and analyze the various modules.Since the analysis of neuro-spike communication is nascent,most of the existing studies focus on establishing the neural impulse communication model from the communication perspective,which ignore the synaptic plasticity.Specifically,the synaptic plasticity refers to the adjustability of the strength,morphology,and function of synaptic connections between neurons,which can enhance or attenuate neuronal activity.Therefore,without incorporating synaptic plasticity in neurospike communication model is more like to result in lower rate of information transmission and further degenerate the communication efficiency of the entire system operation.In view of the above problems,this paper adds a neuronal synaptic plasticity model to the existing neuro-spike model based on the plasticity mechanism of biological neurons,that is,the ability of synapses to increase or decrease with the frequency of spike stimulation.The impact of the plasticity on the amount of information transmitted by the system is analyzed on the spike generation rate and the amount of input and output mutual information.Firstly,according to the influence of the spike frequency on the presynaptic factor,a plasticity model in which the vesicle release rate is affected by the spike frequency is added,and the postsynaptic potential increment expression is derived.It is found that the post-synaptic generation potential will follow the presynaptic spike frequency increases,but the increment is reduced;as the spike stimulation frequency increases,the output neurons can generate the spikes earlier,and the mutual information transmitted by the system can reach the peak earlier,and higher peaks.That indicate presynaptic vesicle release plasticity can increase the rate of information transfer throughout the system at a certain frequency.After that,further consider the influence of adding NMDA receptor model after synapse,and derive the expression of information in the presence of NMDA receptor.According to the continuous open character of NMDA receptors,the open NMDA receptor channels are accumulated,so that only a few receptor channels are required to open to generate spikes in the next time period.The information transmission rate of low frequency stimulation can be improved in this state,and the transmission of mutual information is improved to some extent.Finally,using MATLAB to simulate and verify the above conclusions,it is found that the above situation is more obvious when the overall frequency is lower,but when the overall frequency is higher,the system information will be reduced in the enhanced state.