封面
声明
中文摘要
英文摘要
目录
Chapter 1 Introduction
1.1 Neural encoding and decoding
1.2 Acupuncture
1.3 Characterizing signals through complex network
1.4 Synchronization of neural network in external
1.5 Structure of this dissertation
Chapter 2 Design of acupuncture experiment and sorting of signals
2.1 Design of acupuncture experiment
2.2 Spike detection and sorting
2.3 Conclusion
Chapter 3 Spatiotemporal encoding analysis of information in acupuncture
3.1 Spatiotemporal encoding analysis of signals evoked by different acupuncture manipulations
3.2 Encoding analysis of signals evoked by acupuncture with different frequencies
3.3 Characterizing acupuncture signals in all sessions 3.3.1 Rate encoding analysis
3.4 Conclusions
Chapter 4 Decoding acupuncture electrical signals in spinal dorsal root ganglion
4.1 Predicting types of MA by decoding algorithm
4.2 Information analysis
4.3 Time dependence of decoding
4.4 Conclusion
Chapter 5 Characterizing electrical signals evoked by acupuncture through Complex Network Approach
5.1 Introduction of complex network approach
5.2 Analysis of acupuncture signals in complex network approach
5.3 Comparison between complex network approach and nonlinear analysis
5.4 Conclusion
Chapter 6 Spiking regularity in a feedforward network
6.1 Description of a feedforward network
6.2 Propagation of spiking rate and regularity in balanced feedforward network
6.3 Conclusion
Chapter 7 Synchronization of Fitzhugh-Nagumo neural network in external stimuli
7.1 The nonlinear cable model of individual neuron
7.2 Criterions for complete synchronization of linearly coupled network in external stimulation
7.3 Synchronization of heterogeneous network in external stimuli
7.4 Conclusion
Chapter 8 Conclusion and future work
8.1 Conlusion
8.2 Future work
参考文献
Published papers and reseach projects
Acknowledgement
