Graph neural networks uncover structure and functions underlying the activity of simulated neural assemblies

arXiv:2602.13325v1 Announce Type: new Abstract: Graph neural networks trained to predict observable dynamics can be used to decompose the temporal activity of complex heterogeneous systems into simple, interpretable representations. Here we apply this framework to simulated ne...

🔗 Read more: https://arxiv.org/abs/2602.13325

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