Browsing Department of Materials Science and Metallurgy by Subject "bursts"
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A comparison of computational methods for detecting bursts in neuronal spike trains and their application to human stem cell-derived neuronal networks
(American Physiological SocietyJournal of Neurophysiology, 2016-04-20)Accurate identification of bursting activity is an essential element in the characterization of neuronal network activity. Despite this, no one technique for identifying bursts in spike trains has been widely adopted. ...