PULSE, a foundation model trained on neural recordings, reveals how disease variants affect network development and how circuits encode information in brain organoids.

bioRxiv · Oct 13, 2026 · PreprintNeuroscience

Cloud-Connected Pluripotent Stem Cell Platform Enhances Scientific Identity in Underrepresented Students

Samira Vera-Choqqueccota, Drew Ehrlich, Vladimir Luna-Gomez, Sebastian Hernandez, Jesus Gonzalez-Ferrer, H. Schweiger, Kateryna Voitiuk, Yohei Rosen, Kivilcim E Doganyigit, Isabel Cline, Rebecca Ward, Erika Yeh, Karen H. Miga, Barbara Des Rochers, Sri Kurniawan, , Mohammed A. Mostajo-Radji

This paper develops a cloud-connected stem cell platform to enhance scientific identity in underrepresented students, showing improved outcomes in competence and research readiness.

Stem Cell Reports · Jun 18, 2026Peer-reviewedScientific Communication & Education

Self-Organizing Neural Networks in Organoids Reveal Principles of Forebrain Circuit Assembly

Sebastian Hernandez, Hunter E. Schweiger, Isabel Cline, Gregory A. Kaurala, Ash Robbins, Daniel Solis, Samira Vera-Choqqueccota, Jinghui Geng, Tjitse van der Molen, Francisco Reyes, Chinweike Norman Asogwa, Kateryna Voitiuk, Mattia Chini, Marco Rolandi, Sofie R. Salama, , Mohammed A. Mostajo-Radji

This study uses mouse forebrain organoids to show how variations in cellular composition influence the self-organization of neural circuits, revealing intrinsic principles of forebrain circuit assembly.

Stem Cell Reports · Mar 5, 2026Peer-reviewedNeuroscience

Goal-Directed Learning in Cortical Organoids

Ash Robbins, H. Schweiger, Sebastian Hernandez, Alex Spaeth, Kateryna Voitiuk, David F. Parks, Tjitse van der Molen, Jinghui Geng, Isabel Cline, K S Kosik, Sofie R. Salama, Tal Sharf, Mohammed A. Mostajo-Radji, David H. Haussler, Mircea Teodorescu

This study demonstrates goal-directed learning in cortical organoids using a closed-loop electrophysiology framework and artificial reinforcement learning.

Cell Reports · Feb 1, 2026Peer-reviewedNeuroscience