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		<title>A New Framework Proposes Controlling High-Performance Brain States in Real Time</title>
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				<category><![CDATA[Health]]></category>
		<category><![CDATA[Brain-Computer Interface]]></category>
		<category><![CDATA[closed-loop control]]></category>
		<category><![CDATA[cognitive enhancement]]></category>
		<category><![CDATA[cognitive state]]></category>
		<category><![CDATA[digital twin]]></category>
		<category><![CDATA[micro-randomized trial]]></category>
		<category><![CDATA[neuroergonomics]]></category>
		<category><![CDATA[neurofeedback]]></category>
		<category><![CDATA[personal neural twin]]></category>
		<category><![CDATA[research ethics]]></category>
		<category><![CDATA[transition prediction]]></category>
		<category><![CDATA[wearable neurotechnology]]></category>
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					<description><![CDATA[A new hypothesis paper proposes treating access to high-performance cognitive states as a closed-loop engineering problem, specifying a five-layer architecture and a staged validation program while presenting no empirical results.]]></description>
		
		
		
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