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Towards Reliable Spike-Train Recordings from Thousands of Neurons with Multielectrodes
Citation key Einevoll2011
Author Einevoll, G.T., Franke, F., Hagen, E., Pouzat, C., and Harris, K.D.
Pages 11-17
Year 2011
DOI 10.1016/j.conb.2011.10.001
Journal Current Opinion in Neuroiology
Number 22
Month October
Abstract The new generation of silicon-based multielectrodes comprising hundreds or more electrode contacts offers unprecedented possibilities for simultaneous recordings of spike trains from thousands of neurons. Such data will not only be invaluable for finding out how neural networks in the brain work, but will likely be important also for neural prosthesis applications. This opportunity can only be realized if efficient, accurate and validated methods for automatic spike sorting are provided. In this review we describe some of the challenges that must be met to achieve this goal, and in particular argue for the critical need of realistic model data to be used as ground truth in the validation of spike-sorting algorithms.
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