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A low-cost single-board solution for real-time, unsupervised waveform classification of multineuron recordings
A K Kreiter1, A M Aertsen, G L Gerstein
1Max-Planck-Institute for Biological Cybernetics, Tübingen, F.R.G.
Journal of Neuroscience Methods
|October 1, 1989
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.