Sparse Data Analysis Strategy for Neural Spike Classification

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="757068.fig.0010a" src="https://static.hindawi.com/articles/cin/volume-2014/757068/figures/757068.fig.0010a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Shapes of 2 kinds of clustered spikes obtained by PB-Clus</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="757068.fig.0010b" src="https://static.hindawi.com/articles/cin/volume-2014/757068/figures/757068.fig.0010b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Shapes of 4 kinds of clustered spikes obtained by MDA</td></tr></table></td></tr></table>

<table>Clustered spikes obtained by PB-Clus in channel 2.</table>

Computational Intelligence and Neuroscience

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Figure 10

Figure 10: Sparse Data Analysis Strategy for Neural Spike Classification 