From 221b60d6bf069e14e384a1d7d7e9b531321e9418 Mon Sep 17 00:00:00 2001 From: Kerstin Lenk <56716371+kerstinlenk@users.noreply.github.com> Date: Sun, 7 Jun 2020 09:54:45 +0200 Subject: [PATCH] Initial commit --- README.md | 26 ++++++++++++++++++++++++++ 1 file changed, 26 insertions(+) create mode 100644 README.md diff --git a/README.md b/README.md new file mode 100644 index 0000000..6ea238b --- /dev/null +++ b/README.md @@ -0,0 +1,26 @@ +# 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