D. Parks

发表

A study of the Exponentiated Gradient +/- algorithm for stochastic optimization of neural networks

D. Parks, 2019 .

Light-weight electrophysiology hardware and software platform for cloud-based neural recording experiments

Alex A. Pollen, Matthew G. Keefe, D. Haussler, 2021, bioRxiv.

Transcriptomic cell type structures in vivo neuronal activity across multiple timescales

Eva L. Dyer, Keith B. Hengen, K. B. Hengen, 2022, bioRxiv.

Transcriptomic cell type structures in vivo neuronal activity across multiple time scales

Eva L. Dyer, K. B. Hengen, T. Nowakowski, 2022, bioRxiv.

IoT cloud laboratory: Internet of Things architecture for cellular biology

Alex A. Pollen, Keith B. Hengen, D. Haussler, 2022, Internet Things.

Cloud-controlled microscopy enables remote project-based biology education in Latinx communities in the United States and Latin America

Yohei M. Rosen, D. Haussler, Victoria T. Ly, 2022, bioRxiv.

Cloud-controlled microscopy enables remote project-based biology education in underserved Latinx communities

Yohei M. Rosen, D. Haussler, Victoria T. Ly, 2022, Heliyon.

Deep learning of quasar spectra to discover and characterize damped Lyα systems

J. Xavier Prochaska, Zheng Cai, Shawfeng Dong, 2017, 1709.04962.

A non-oscillatory, millisecond-scale embedding of brain state provides insight into behavior

Eva L. Dyer, Keith B. Hengen, D. Haussler, 2023, bioRxiv.

Internet of Things Architecture for Cellular Biology

Alex A. Pollen, Keith B. Hengen, D. Haussler, 2021, bioRxiv.

A feedback-driven IoT microfluidic, electrophysiology, and imaging platform for brain organoid studies

S. Salama, D. Parks, T. Sharf, 2024, bioRxiv.