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We propose a neuron position alignment method to compensate the distortion and movement of cerebral cortex in live mouse brain and the background luminance compensation to extract and model neuron activity. To find out the network topology, a cross-correlation based method and a causal Bayesian network method are proposed and used for analysis. Afterwards, we did preliminary analysis on network topologies. The significance of this paper is on how to extract neuron activities from live mouse brain imaging videos and a network analysis method to analyze its topology.<\/jats:p>","DOI":"10.4018\/ijmdem.2017070101","type":"journal-article","created":{"date-parts":[[2017,6,5]],"date-time":"2017-06-05T15:24:55Z","timestamp":1496676295000},"page":"1-20","source":"Crossref","is-referenced-by-count":0,"title":["Brain Neuron Network Extraction and Analysis of Live Mice from Imaging Videos"],"prefix":"10.4018","volume":"8","author":[{"given":"Ruichi","family":"Yu","sequence":"first","affiliation":[{"name":"IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA"}]},{"family":"Jui-Hsin (Larry) Lai","sequence":"additional","affiliation":[{"name":"IBM Thomas J. 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