Abstract
The multichannel recordings of signals of many cells cultivated on a multielectrode array (MEA) impose some challenging problems. A meanwhile classic problem is the separation of the recordings of a single electrode into classes of recordings where each class is caused by a single cell. This is the well-known spike sorting. A “dual” problem is the determination of the set of electrodes that record signals of a single cell. This set is called the neighborhood of the cell and has often more than one element if the MEA has a large number of electrodes with high density. A method for the reconstruction of the neighborhoods from the multichannel recordings is presented. Special effort is directed to a precise peak detection. For the evaluation of the algorithm, artificial data, obtained from an appropriate model of MEA recordings, are used. Because the artificial data provide a ground truth, an evaluation of the accuracy of the algorithm is possible. The algorithm works well for realistic parameters.
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Acknowledgements
We are grateful for the financial support of the Deutsche Forschungsgemeinschaft for the DFG graduate school 1505/2 welisa. We are also thankful for the fruitful discussions with the department of biophysics, especially with Jan Gimsa, Werner Baumann, Tom Reimer and Matthias Nissen. Last but not least we thank two anonymous reviewers whose careful readings, helpful comments and suggestions contribute to amend this paper.
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Engel, K., Hanisch, S. Reconstruction of cell-electrode-adjacencies on multielectrode arrays. J Comput Neurosci 37, 583–591 (2014). https://doi.org/10.1007/s10827-014-0524-6
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DOI: https://doi.org/10.1007/s10827-014-0524-6