A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td align="left" rowspan="2">   Property </td><td align="center" colspan="3">Input</td></tr><tr class="thead"><td align="center"> LFP and spike </td><td align="center"> LFP </td><td align="center"> Spike  </td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td align="left">NMSE (mean/STD)</td><td align="center">0.48/0.05</td><td align="center">0.55/0.03</td><td align="center">0.63/0.11</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Computational Intelligence and Neuroscience

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Table 1

Table 1: A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control 