Neuron Activities Of The Vestibular Nuclei Of Geckos On Different Slope Surfaces： Recording And Characteristic Analysis

The lizard Gekko gecko is appropriate for bio-robot because of its excellent locomotion abilitieson three-dimensional terrain and high load-carrying abilities. Bionic robot lags far behind bio-robot instability, flexibility, robust, environmental adaptation and efficiency of energy when moving incomplex environment, has made them the hot spot for research.Vestibular balance system has a vital role in maintaining the ability of three dimensionalobstacle-free. Therefore, In order to reach this target, it is essential to study the responses of neuron investibular nuclei under different tilt angles. The research will be practical to modulate the animal’sbehavior. The researches of this thesis, including studies on the specificity vestibular neural signalextracellular recording by the stimuli of different tilt angles and level-instantaneous, complete offlinespike analysis, feature extraction, in order to achieve based neural information decoding and patternanalysis in Gekko gecko.The contents of this thesis is the basis research in cross-disciplinary. some works are full ofchallenges, and some method, for example, gecko’s vestibular extracellular recording, was originalwork. Neurons extracellular recording is the important ways to study the spatial-temporal responsepatterns of neurons. Before extracellular recording, some key technologies must be solved:Microelectrodes were developed with micro-wire and tested carefully; The skull above Brain stem,duramater and arachnoid was removed to ensure the advancing of microelectrodes; Design the modeof experiments stimulation; A signal acquisition system was set up to record both the neural signaland stimulation signal. Finally, the recording sites were verified by tissues. The neural responses ofgeckos’ vestibular nuclei to different stimuli were examined by extracellular recording. The positionsof recording sites were confirmed by tissue slicing. Response patterns could be classified into noresponse、suppression and excitation. The excited neurons could be further classified into twosubtypes by temporal patterns. This thesis achieves based neural information decoding and patternanalysis in geckos’ vestibular nuclei, and provides a neurophysiologic basis for studying the ability ofthree dimensional obstacle-free.