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

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.

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 Creators:
Kreiter, AK1, 2, Author           
Aertsen, AMHJ1, 2, Author           
Gerstein, GL, Author           
Affiliations:
1Former Department Structure and Function of Natural Nerve-Net , Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497803              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 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.

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 Dates: 1989-10
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: DOI: 10.1016/0165-0270(89)90075-7
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Title: Journal of Neuroscience Methods
  Other : J. Neurosci. Meth.
Source Genre: Journal
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Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 30 (1) Sequence Number: - Start / End Page: 59 - 69 Identifier: ISSN: 0165-0270
CoNE: https://pure.mpg.de/cone/journals/resource/954925480594