Author

Brian G. Jamieson

Diagnostic Biochips (United States)

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 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:plant (other)· 1

Frequent Co-Authors

Alex M. Tamburino· 1 shared Alexandra V. UlyanovaiD· 1 shared Bilal ÇakıriD· 1 shared Carlo CottoneiD· 1 shared Christopher D. AdamiD· 1 shared Cuthbert Steadman· 1 shared D. Kacy CulleniD· 1 shared Eran StarkiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperNeuroscience

Alex M. Tamburino

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2 papers

Recent·Most cited

High-density extracellular recordings from the interior of intact brain organoids enable automated high-throughput functional assay

Fan Wu, Cuthbert Steadman, Liam P. Argent, Brian G. Jamieson, Shamsudheen Karuthedath Vellarikkal, Alex M. Tamburino, Iya G. Khalil, Vanessa M. Peterson, Matthew E Kennedy, Rebecca S. Mathew, Eran Stark, Bilal Çakır

This paper develops an automated system to record neural activity from brain organoids and uses it to classify organoids with Alzheimer's disease mutations using a classifier with 100% accuracy.

bioRxiv · Sep 12, 2025 · PreprintNeuroscience

Multichannel Silicon Probes for Awake Hippocampal Recordings in Large Animals

Alexandra V. Ulyanova, Carlo Cottone, Christopher D. Adam, Kimberly G. Gagnon, D. Kacy Cullen, Tahl Holtzman, Brian G. Jamieson, Paul F. Koch, Huimin Chen, Victoria E. Johnson, John A. Wolf

This study evaluates multichannel silicon probes for chronic electrophysiological recordings in large animals, finding that probe cross-sectional area and design affect single-unit performance and long-term viability.

Frontiers in Neuroscience · Apr 26, 2019Peer-reviewedNeuroscience