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

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="870160.fig.002a" src="https://static.hindawi.com/articles/cin/volume-2014/870160/figures/870160.fig.002a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>A filtered-<svg height="7.9499998" id="M113" style="vertical-align:-0.13794pt" version="1.1" viewbox="0 0 7.3375001 7.9499998" width="7.3375001" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,7.675)"><path d="M401 397q0 -24 -24 -40q-18 -13 -31 3q-36 45 -93 45q-48 0 -86.5 -43t-51.5 -112l206 6l-8 -48l-203 6v-25q0 -68 26.5 -107t73.5 -39q73 0 148 64l16 -22q-40 -44 -91 -70.5t-102 -26.5q-75 0 -116.5 45t-41.5 136q0 125 99 208q36 30 87 50.5t93 20.5q46 0 72.5 -16
t26.5 -35z" id="x1D716"></path></g>
</svg> LMS adaptive inverse control diagram</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="870160.fig.002b" src="https://static.hindawi.com/articles/cin/volume-2014/870160/figures/870160.fig.002b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>An adaptive inverse control diagram in RKHS</td></tr></table></td></tr></table>

<table>Adaptive inverse control diagram.</table>

Computational Intelligence and Neuroscience

fig2

Figure 2

Figure 2: A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control 