Papers
2
Total Citations
90
H-Index
2
About
Joshua H. Siegle is a leading systems neuroscientist whose work lies at the intersection of neurotechnology and sensory perception. He is best known for pioneering high-precision, automated methods for performing craniotomies—a critical procedure for accessing the brain in vivo. His 2015 paper on "Closed-loop, ultraprecise, automated craniotomies" (45 citations) introduced a repeatable, damage-minimizing technique that has become foundational for large-scale electrophysiology, two-photon imaging, and optogenetics, enabling more reliable and reproducible neural recordings. Earlier in his career, Siegle made significant contributions to the study of self-motion perception, developing a novel continuous pointing method to measure instantaneous perceived self-motion during passive translations. His 2009 paper on this topic (45 citations) provided a high-resolution, real-time framework for quantifying changes in perceived location, velocity, and acceleration—a major advance over previous methods. Siegle’s work bridges engineering and neuroscience, offering tools that empower researchers to probe neural circuits with unprecedented precision. His contributions have been widely adopted in laboratories studying motor control, spatial navigation, and sensory integration, cementing his reputation as a key innovator in modern neurotechnology.
Research Focus
Key Achievements
Top Papers
- 1Closed-loop, ultraprecise, automated craniotomies45 citations · 2015
- 2Measurement of instantaneous perceived self-motion using continuous pointing45 citations · 2009