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		<title>Topology Meets the Brain: New Algorithm Detects Mental States in EEG Without Labels</title>
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		<pubDate>Wed, 07 Oct 2026 14:10:25 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[brain states]]></category>
		<category><![CDATA[EEG]]></category>
		<category><![CDATA[Feature Selection]]></category>
		<category><![CDATA[meditation]]></category>
		<category><![CDATA[Neuroinformatics]]></category>
		<category><![CDATA[persistent homology]]></category>
		<category><![CDATA[polysomnography]]></category>
		<category><![CDATA[sleep staging]]></category>
		<category><![CDATA[state-detecting algorithm]]></category>
		<category><![CDATA[Takens embedding]]></category>
		<category><![CDATA[topological data analysis]]></category>
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					<description><![CDATA[Researchers have developed an unsupervised algorithm that uses topological data analysis to detect functional stages in EEG recordings from meditation and sleep without any labeled training data.]]></description>
		
		
		
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