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		<title>Predicting Neural Activity in Connectome-Based Recurrent Networks</title>
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		<pubDate>Mon, 27 Oct 2025 16:11:16 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[computational neuroscience frameworks]]></category>
		<category><![CDATA[connectome activity relationship]]></category>
		<category><![CDATA[connectome-based recurrent networks]]></category>
		<category><![CDATA[neural dynamics modeling]]></category>
		<category><![CDATA[student-teacher network paradigms]]></category>
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					<description><![CDATA[In the evolving frontier of neuroscience, the ambition to chart the brain’s complex wiring diagram, known as the connectome, has fascinated researchers and technologists alike. With advances in imaging and computational methods, it has become feasible to reconstruct vast neural circuits or even entire brains at synaptic resolution. This comprehensive mapping has kindled hopes that [&#8230;]]]></description>
		
		
		
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