Author

Bruno Alvarez-Esteban

University of California, Santa Cruz

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· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Organism:mouse· 1

Frequent Co-Authors

Aidan Schneider· 1 shared Avelina Moreno-OchandoiD· 1 shared David H. HaussleriD· 1 shared Francisco ReyesiD· 1 shared H. SchweigeriD· 1 shared Jessica L. SevetsoniD· 1 shared Jesus Gonzalez-FerreriD· 1 shared Jinghui GengiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Aidan Schneider

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

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