Utilizing Cross Correlation Coefficient for Estimation the Detection Range of Michigan Probe
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1
National Taiwan University, Taiwan
The technique of large-scale ensemble recording is a trend to explore neuronal network in conscious state. Thus, extracellular multi-channel electrodes and spike sorting algorithm are indispensable for ensemble recording. However, in such recording, the same action potential could be detected by more than one recording site yet determined as from different neurons. Since the collected spikes are in different waveforms and amplitudes apiece owing to different conductive distances and relatively poor selectivity of these electrodes, overestimation of neurons from different recording sites may occur. In this study, cross-correlation coefficient as a laconic method was introduced to determine multiple spikes of a single source recorded from different recording sites, likewise to estimate the detection range of the electrode. The characteristics of neural signal gathered from cross-correlation coefficient help us to strike a balance between the selectivity of electrode and collected spike amount, then modify and strengthen the efficiency of multi-channel spike-sorting algorithm. Therefore, this method enhances the practical utility of multi-channel electrodes in the analysis of neuronal activities in conscious animal model.
Conference:
10th International Conference on Cognitive Neuroscience, Bodrum, Türkiye, 1 Sep - 5 Sep, 2008.
Presentation Type:
Poster Presentation
Topic:
Neuroinformatics of Cognition
Citation:
Kao
Y,
Wang
C and
Jaw
F
(2008). Utilizing Cross Correlation Coefficient for Estimation the Detection Range of Michigan Probe.
Conference Abstract:
10th International Conference on Cognitive Neuroscience.
doi: 10.3389/conf.neuro.09.2009.01.358
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Received:
15 Dec 2008;
Published Online:
15 Dec 2008.
*
Correspondence:
Yu-Chieh Kao, National Taiwan University, Taipei, Taiwan, f95548021@ntu.edu.tw