Extracellular recordings carry information about neuronal location, and pooling per-unit predictions across neighboring electrodes improves its readout, but whether this local pooling should be learned is untested. We present MYCEL (Message-passing Yields Cellular Embeddings of Location), a graph neural network whose n...
Jesus Gonzalez-Ferrer, Avelina Moreno-Ochando, John R. Minnick et al.· bioRxiv· 0 citations
A compact, reusable representation for array-wide spiking activity without learned assay-specific parameters is established, providing a scalable foundation for generative modeling across diverse neural preparations.
Md Sayed Tanveer, M. Mostajo-Radji, Wang Ge· 0 citations
HIPPIE is introduced, a deep-learning model that classifies neuron types from electrophysiological recordings across mice, rats and macaques, and can generate and translate signals between species or recording technologies.
Jesus Gonzalez-Ferrer, Julian Lehrer, Bruno Alvarez-Esteban et al.· Nature Communications· 0 citations
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