Michael McKinnon
Papers
1
Total Citations
71
H-Index
1
About
Michael McKinnon is a pioneering neuroscientist and engineer whose work centers on the development of automated tools for electrophysiology, particularly for intracellular neural recording in vivo. His most significant contribution is the creation of the "autopatcher," a robotic system that automates the delicate process of patching neurons in living animals—a task traditionally requiring immense manual skill. This innovation, detailed in his highly cited 2016 paper (71 citations), has dramatically increased the throughput and reproducibility of intracellular recordings, enabling new studies of neural dynamics at the single-cell level. McKinnon’s work bridges engineering and neuroscience, offering a scalable solution for high-resolution brain mapping. His achievements have been recognized for advancing the frontier of automated neurotechnology, making him a key figure in the push toward high-throughput, unbiased neural recording. For students and researchers, McKinnon’s research exemplifies how interdisciplinary approaches can transform fundamental questions in neuroscience into practical, automated systems.
Research Focus
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Top Papers
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