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+# NetworkWideAdaptiveBurstDetection
+
+The network-wide adaptive burst depection algorithm can detect bursts (cascades of action potentials) in neuronal activity, typically measured with *in vitro* multielectrode arrays. The algorithm is implemented in Matlab. 
+
+The repository includes the code for the publication: Välkki IA, Lenk K, Mikkonen JE, Kapucu FE and Hyttinen JAK (2017) Network-Wide Adaptive Burst Detection Depicts Neuronal Activity with Improved Accuracy. Front. Comput. Neurosci. 11:40. doi: 10.3389/fncom.2017.00040
+
+Author
+=======
+* Inkeri Välkki
+
+Contributors
+===========
+* Kerstin Lenk
+* Emre Kapucu
+
+Derivative of CMA algorithm
+===========================
+The algorithm is a derivative of the cumulative moving average (CMA) algorithm published in Kapucu FE, Tanskanen JA, Mikkonen JE, Ylä-Outinen L, Narkilahti S, Hyttinen JAK (2012) Burst analysis tool for developing neuronal networks exhibiting highly varying action potential dynamics. Front. Comput. Neurosci. 6:38. doi: 10.3389/fncom.2012.00038
+
+Requirements
+============
+MATLAB (tested with versions 2017-2019b)
+
+Usage
+=====
+See Manual.docx