Justin Kinney

Justin Kinney was a postdoc in the Synthetic Neurobiology group, where he worked on strategies for scalable neural signal acquisition and analysis. He then moved on to become an engineer at the startup company LeafLabs, working to commercialize scalable neural acquisition systems. Justin Kinney was formerly a postdoctoral fellow in the Computational Neurobiology Laboratory led by Terry Sejnowski at the Salk Institute for Biological Studies in La Jolla, California where he developed three-dimensional reconstructions of brain tissue from serial section electron microscopy images. He received his Ph.D in Bioengineering from the University of California San Diego under the advisement of Dr. Sejnowski. Originally trained as a Mechanical Engineer at Georgia Tech, Justin designed robots for manufacturing for Danaher Precision Systems in Salem, NH before beginning his doctoral research.


Heterogeneous neural amplifier integration for scalable extracellular microelectrodes

38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society | 2016

Jorg Scholvin, Justin Kinney, Jacob Bernstein, Caroline Moore-Kochlacs, Nancy Kopell, Clifton Fonstad, Edward Boyden (2016) Heterogeneous Neural Amplifier Integration for Scalable Extracellular Microelectrodes, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2016:2789-2793.

A direct-to-drive neural data acquisition system

Frontiers in Neural Circuits | 2015

Kinney, J.P., Bernstein, J.G., Meyer, A.J., Barber, J.B., Bolivar, M., Newbold, B., Scholvin, J., Moore-Kochlacs, C., Wentz, C.T., Kopell, N.J., Boyden, E.S. (2015) A direct-to-drive neural data acquisition system, Frontiers in Neural Circuits 9:46.

Closed-loop, ultraprecise, automated craniotomies

Journal of Neurophysiology | 2015

Pak N, Siegle JH*, Kinney JP*, Denman DJ, Blanche TJ, Boyden ES (2015) Closed-loop, ultraprecise, automated craniotomies, Journal of Neurophysiology 113(10):3943-53. (*, equal contribution)