The Acquisition Of Olfactory Neural Signals And Spike Sorting

Action Potential (spike) is very important for nervous systems to transmit information. Neurons keep touch with each other by sending series of action potentials. Detecting and sorting of neural action potential has a great significance for studying the nervous system. The details of this paper are as follows:Firstly, we carry out extracellular recording experiments on gecko's olfactory bulb. I master the production technology of microelectrodes and use of data acquisition system. Operation and signal recording have a significant influence for extracellular recording experiments. Getting neuronal signals through extracellular recording experiments is a prerequisite for detecting and sorting spikes.Secondly, we realize the method was used to sort neural spikes by using discrete wavelet transformation. This method was also used to analyze the multi-channel extracellular recording of gecko's olfactory bulb. The efficiency of this method was well shown by the results of simulation. Under different signal-to-noise, this method outperforms principal component analysis.Finally, a new method was used to sort neuronal spikes by using discrete wavelet transformation and spike feature analysis. The proposed method was also used to analyze neuronal spikes of gecko's olfactory bulb. The results show that: the proposed method outperforms principal component analysis. The comparison between the proposed method and Offline Sorter also verified the correctness and accuracy of the proposed method. In the end, a practical analysis tool was developed on the basis of the proposed method. The software was developed in MATLAB.