Author

Aidan Schneider

Yale University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Organism:mouse· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:graph neural network· 1 Organism:human· 1

Frequent Co-Authors

Avelina Moreno-OchandoiD· 2 shared David H. HaussleriD· 2 shared Jesus Gonzalez-FerreriD· 2 shared Mircea TeodorescuiD· 2 shared Mohammed A. Mostajo-RadjiiD· 2 shared Bruno Alvarez-Esteban· 1 shared Francisco ReyesiD· 1 shared H. SchweigeriD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Avelina Moreno-OchandoORCID

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2 papers

Recent·Most cited

Decoding brain anatomy from neuronal neighborhoods with MYCEL

Jesus Gonzalez-Ferrer, Avelina Moreno-Ochando, John Minnick, Aidan Schneider, Mircea Teodorescu, David H. Haussler, Mohammed A. Mostajo-Radji

The paper introduces MYCEL, a graph neural network that improves decoding of brain anatomy from neuronal neighborhoods by learning local pooling, outperforming fixed aggregation on multiple datasets.

bioRxiv · Oct 1, 2026 · PreprintNeuroscience

HIPPIE: A Multimodal Deep Learning Model for Electrophysiological Classification of Neurons

Jesus Gonzalez-Ferrer, Julian Lehrer, Bruno Alvarez-Esteban, Avelina Moreno-Ochando, H. Schweiger, Jinghui Geng, Luiz F. S. Eugênio dos Santos, Sebastian Hernandez, Francisco Reyes, Jessica L. Sevetson, Aidan Schneider, Sofie R. Salama, Mircea Teodorescu, David H. Haussler, Mohammed A. Mostajo-Radji

HIPPIE is a deep learning model that classifies neurons from electrophysiological recordings by combining self-supervised pretraining and supervised fine-tuning, showing better performance than unsupervised methods.

Nature Communications · Aug 21, 2026Peer-reviewedNeuroscience