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Proper Citation: Spike Sorting Evaluation Project (RRID:SCR_004063)
Description: THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023.This project attempts to establish a platform for spike sorting with two different goals: First, to provide a sophisticated benchmark data set which could be used for future publications on this topic. Second, to give researchers using spike sorting software the possibility to evaluate their data under different conditions and compare their results to other spike sorters. Extracellular recordings are a standard procedure to analyzing the activity of neurons. A problem with this kind of recording is the simultaneous recording of not a single neuron but a small local population of neurons. It is not straight-forward to reconstruct the single neuronal activities. To estimate the single neuron activity (the so called spike train) from this multi neuron activity, spike sorting is applied. Many different algorithms for spike sorting were proposed. However, despite many efforts to tackle this problem, it is still difficult to tell under which circumstances which spike sorting algorithm is the best. If you are interested in some basic reading about spike sorting please consult the following references. A review of methods for spike sorting: the detection and classification of neural action potentials M. S. Lewicki (1998), Network: Computation in Neural Systems, Vol. 9, No. 4. (1998), pp. 53-78 Towards reliable spike-train recordings from thousands of neurons with multielectrodes. Einevoll GT, Franke F, Hagen E, Pouzat C, Harris KD (2011), Curr Opin Neurobiol. 2011 Oct 22.
Abbreviations: Spikesorting Evaluation
Resource Type: software application, data or information resource, database, software resource, data analysis software, data processing software
Keywords: spike sorting, neuron, extracellular
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