Browsing Department of Materials Science and Metallurgy by Subject "development"
Now showing items 1-3 of 3
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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. ...
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Homeostatic Activity-Dependent Tuning of Recurrent Networks for Robust Propagation of Activity
(Society for NeuroscienceJournal of Neuroscience, 2016-03-30)Developing neuronal networks display spontaneous bursts of action potentials that are necessary for circuit organization and tuning. While spontaneous activity has been shown to instruct map formation in sensory circuits, ...