Connectome-to-Function: Conditional Generative Latent Representations for Reservoir Computing
An AI-for-science approach to linking neural connectivity to computation is suggested and a conditional generative latent framework is proposed that encodes connectome graphs into a compact structural space while using available node-level conditions to guide reconstruction and generation.
Zhuo-Lin Yu, Xing-Yu Liu, Yuan-Hao Jia et al.
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