Ks. Guillory et Ra. Normann, A 100-channel system for real time detection and storage of extracellular spike waveforms, J NEUROSC M, 91(1-2), 1999, pp. 21-29
As extracellular electrode arrays with 100 or more active recording sites b
ecome more widely used for simultaneous recording of neural ensembles, prac
tical data acquisition systems that can efficiently accommodate high electr
ode counts are needed. To reduce the high data rates associated with extrac
ellular recordings from these arrays, various algorithms and systems have b
een designed to provide complete online detection and classification of ext
racellular spike waveforms. However, many of these algorithms require signi
ficant user supervision to ensure accurate performance. In this paper, we d
iscuss the design and validation of a 100-channel PC-based system that can
be used with arrays of extracellular electrodes such as the Utah Electrode
Array. Instead of comprehensive online spike analysis, the system performs
online detection and storage of the spike waveforms for offline classificat
ion. This strategy preserves the data of interest, reduces system complexit
y, and requires less user supervision during experiments. (C) 1999 Elsevier
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