Unsupervised waveform classification for multi-neuron recordings: a real-time, software-based system. I. Algorithms and implementation.

作者: M. Salganicoff , M. Sarna , L. Sax , G.L. Gerstein

DOI: 10.1016/0165-0270(88)90132-X

关键词:

摘要: We describe a new, mostly software-based device for the sorting of waveforms in an extracellular multi-neuron recording situation. The algorithm is largely unattended, and, after initial 'learning' process, works real time. Shape comparisons are based on up to 8 time points waveform; these (the reduced feature set) chosen automatically by analyzing current incoming data stream. A feasibility version has been implemented LSI-11/2 system, using FORTRAN set-up calculations and assembler real-time operations. Detailed with performance other devices presented companion paper.

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