Random bin for analyzing neuron spike trains

Authors:
Shinichi Tamura;Tomomitsu Miyoshi;Hajime Sawai;Yuko Mizuno-Matsumoto
Affiliations:
NBL Technovator Co., Ltd., Sennan, Osaka, Japan;Department of Integrative Physiology, Graduate School of Medicine, Osaka University, Suita, Japan;Department of Integrative Physiology, Graduate School of Medicine, Osaka University, Suita, Japan;Graduate School of Applied Informatics, University of Hyogo, Kobe, Japan
Venue:
Computational Intelligence and Neuroscience - Special issue on Computational Intelligence in Biomedical Science and Engineering
Year:
2012

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Abstract

When analyzing neuron spike trains, it is always the problem of how to set the time bin. Bin width affects much to analyzed results of such as periodicity of the spike trains. Many approaches have been proposed to determine the bin setting. However, these bins are fixed through the analysis. In this paper, we propose a randomizing method of bin width and location instead of conventional fixed bin setting. This technique is applied to analyzing periodicity of interspike interval train. Also the sensitivity of the method is presented.