Study Of Synaptic Plasticity Of The Nervous System Based On STDP

The exploration of modern artificial neural network is based on biological neurons related theory. Biological neurons related theory points out that the synapses are plastic. This plasticity has the extremely important significance for learning and memory function of the brain. In this paper mainly study a new kind of synaptic plasticity which called Spike Timing Dependent Plasticity that found in the experiment in recent years. STDP laws of synaptic plasticity are thought to be one of the most relevant neural synapse system with memory and learning ability in the brain’s neural network. Setting the synaptic model which associated with the nervous system and dynamic model of ion channels are the more effective methods to simulate the STDP synapse system now.At present the exploration of the system simulation about STDP synapse system are flawed. Mainly because the designed model is not obtained a time of STDP asymmetric experimental results and there is not a set of system to validate data validation protocols after get the datas.For the two problems above, this paper has designed a new type of STDP system model. In addition, according to the features of neurons, this paper has designed the back propagation of dendritic signals and glutamic acid ion channel kinematics model of the sample. This model can be used to accurately simulate the presynaptic and postsynaptic action potentials related signals. Then use the simulation of presynaptic and postsynaptic action potentials to verify design STDP synapse.system.Finally this paper also study how the coupling synchronization of neurons affect STDP synaptic plasticity. The main content of the paper has the following several parts.First of all, this paper simply expounds the basic knowledge which involved in the study of neural network. While introduce the Hodgkin-Huxley neuron model used in the study, and make the model simulation test.Secondly, this paper studies the STDP synapses in physiology principle system information transmission process.It analyzes glutamate signals and back propagation dendrites that caused by presynaptic stimulus in the STDP synapse system. In addition,It build the dynamic model of the two signals of ion channels. Simulation is carried out on the model and get experimental results.Thirdly,this paper further research the internal composition of relevant neurons synaptic system. Pointing out that the related signal control structure of Ca ions have formed STDP (?)with the NMDA receptor.Studing the impact of synaptic connection strength in STDP generated by the model.Then the STDP synapse system model to simulate and confirmation. Through the analysis of the simulation data and graphics, it is concluded that the designed STDP synaptic model conforms to the actual physiological principles.(?) the synchronization between neurons, neurons synchronization issue related effects generated by the activity of synapses system. Use the designed system model to analyze. Through the analysis of simulation results, it is concluded that neurons synchronization issue has a positive impact on accord with STDP mechanism of synaptic plasticity.