Burst detection methods

Bursting’, defined as periods of high frequency firing of a neuron separated by periods of quiescence, has been observed in various neuronal systems, both in vitro and in vivo. It has been associated with a range of neuronal processes, including efficient information transfer and the formation of functional networks during development, and has been shown to be sensitive to genetic and pharmacological manipulations. Accurate detection of periods of bursting activity is thus an important aspect of characterising both spontaneous and evoked neuronal network activity. A wide variety of computational methods have been developed to detect periods of bursting in spike trains recorded from neuronal networks. In this chapter, we review several of the most popular and successful of these methods. Table of Abbreviations CMA Cumulative Moving Average IQR Inter-Quartile Range IRT ISI Rank Threshold ISI InterSpike Interval LTD Long Term Depression LTP Long Term Potentiation MEA MultiElectrode Array MI Max Interval PS Poisson Surprise RS Rank Surprise RGS Robust Gaussian Surprise 1 ar X iv :1 80 2. 01 28 7v 1 [ qbi o. N C ] 5 F eb 2 01 8