Brain State Decoding Based on fMRI Using Semisupervised Sparse Representation Classifications

<table class="fixed-width table-group" id="tab2"><tr><td><table class="table"><colgroup><col style="width:7.12em"/><col style="width:5.20em"/><col style="width:7.20em"/><col style="width:7.96em"/><col style="width:9.63em"/><col style="width:5.99em"/></colgroup><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center">SRC-AVE</td><td class="align_center">SemiSRC-AVE</td><td class="align_center">RSE-OSRC-AVE</td><td class="align_center">Naïve semiSRC-AVE</td><td class="align_center">RSE-OLDC</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left">Time (second)</td><td class="align_center">2.30</td><td class="align_center">2.71</td><td class="align_center">17.57</td><td class="align_center">3.26</td><td class="align_center">7.90</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Computation time of five classifiers for real fMRI datasets.</div>

Computational Intelligence and Neuroscience

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Table 2

Table 2: Brain State Decoding Based on fMRI Using Semisupervised Sparse Representation Classifications 