We are interested in improving upon the Neuropixel recording system, from its implantation to data analysis.
Development of Small High-Capacity Probes
Robotic Implantation of Probes
We are creating custom fixtures and improving upon robotic-assisted surgery to implant high shank counts reliably.
One thread includes generating mappings between individual MRI and CT rodent to the corresponding rodent atlas to assist with implantation.
Data Analysis of Large Neural Data
Data science/software data analysis to digest and optimize the information available from these previously unavailable very large neural data sets
We are currently developing an extension to improve neural clustering algorithms, e.g. Kilosort. This extension improves upon the common pitfalls of existing algorithms, such as drift, splitting of neural signals, and burst detection.
In addition to the work above, we partner with Biomedical Engineering and Neuroscience professors to investigate brain-wide circuits and single neurons using Neuropixels for high-density and high-temporal resolution recordings of neural activity.
Disrupted neural activity in disease models
Altered brain-wide synchrony and activity during exposure to psychedelics
Carlos Brody Princeton University, Neuroscience
Adam Charles Johns Hopkins University, Biomedical Engineering
Austin Graves Johns Hopkins University, Biomedical Engineering
Patricia Janak Johns Hopkins University, Neuroscience
Daniel O'Connor Johns Hopkins University, Neuroscience
Zachary Cordner Johns Hopkins University, Psychiatry and Behavioral Sciences
Kellie Tamashiro Johns Hopkins University, Psychiatry and Behavioral Sciences