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A low-cost single-board solution for real-time, unsupervised waveform classification of multineuron recordings

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Kreiter,  AK
Former Department Structure and Function of Natural Nerve-Net , Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Aertsen,  AMHJ
Former Department Structure and Function of Natural Nerve-Net , Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Kreiter, A., Aertsen, A., & Gerstein, G. (1989). A low-cost single-board solution for real-time, unsupervised waveform classification of multineuron recordings. Journal of Neuroscience Methods, 30(1), 59-69. doi:10.1016/0165-0270(89)90075-7.


Cite as: http://hdl.handle.net/21.11116/0000-0005-0C25-5
Abstract
We describe a low-cost single-board system for unsupervised, real-time spike sorting of recordings from a number of neurons on a single microelectrode. The maximum number of spike classes depends on the quality of the recording; it will typically be between 2 and 5. The spike sorter communicates with a conventional microcomputer through a standard serial port (RS232). For typical firing rates as measured in the mammalian central nervous system, this set-up will accommodate up to some 10 parallel spike sorters for as many separate microelectrodes.