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| A Classification and Prediction Model of Multi Spike Train Based on Bayes Theory |
| Fan Yi-na① Lang Bo② Wei Hui② |
①(Institute of Electric Power, Qinghai University, Xi’ning 810016, China)
②(Laboratory of Cognitive Algorithm, Fudan University, Shanghai 201203, China) |
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Abstract Neural population encoding and analysis of spike train play an important role in the field of neural inforamtion processing. In this study, a classification method of spike train is proposed based on high-order multiple Possion model, and a mathematic deduction is made in the spike instensity distribution, accuracy of matching and integration strategy, respectively. Finally, 20 trails, as a traing set, are applied to experiment of U maze of mouse. The result demonstrates that the accuracy rate of the classification method is about 97%.
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Received: 12 November 2012
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Corresponding Authors:
Lang Bo
E-mail: langbo666@126.com
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2013, Vol. 35 
