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	<title>Neurobot &#187; Interpretability</title>
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		<title>EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters</title>
		<link>http://neurobot.bio.auth.gr/2021/eegminer-discovering-interpretable-features-of-brain-activity-with-learnable-filters/</link>
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		<pubDate>Sat, 23 Oct 2021 17:53:25 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[Deep Learning]]></category>
		<category><![CDATA[EEG]]></category>
		<category><![CDATA[Interpretability]]></category>
		<category><![CDATA[Learnable Filters]]></category>

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		<description><![CDATA[Patterns of brain activity are associated with different brain processes and can be used to identify different brain states and make behavioral predictions. However, the relevant features are not readily apparent and accessible. To mine informative latent representations from multichannel EEG recordings, we propose a novel differentiable EEG decoding pipeline consisting of learnable filters and [...]]]></description>
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