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	<title>motor execution &#8211; BIOENGINEER.ORG</title>
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		<title>A Simple Scaling Step Makes or Breaks AI That Reads Brain Signals for Movement</title>
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		<pubDate>Wed, 07 Oct 2026 05:37:34 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Brain-Computer Interface]]></category>
		<category><![CDATA[Conformer]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[EEG]]></category>
		<category><![CDATA[EEGDeformer]]></category>
		<category><![CDATA[independent component analysis]]></category>
		<category><![CDATA[motor execution]]></category>
		<category><![CDATA[motor imagery]]></category>
		<category><![CDATA[preprocessing]]></category>
		<category><![CDATA[subject-independent validation]]></category>
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		<category><![CDATA[Z-score normalization]]></category>
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					<description><![CDATA[A systematic study shows that Z-score normalization, applied after artifact removal, is essential for Transformer models to decode movement from EEG signals above chance level.]]></description>
		
		
		
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