David Golomb

Papers

Total Citations

145

H-Index

About

David Golomb is a leading figure in computational neuroscience, whose work bridges the gap between neural dynamics and biomechanics. His research centers on the neural control of active sensing, with a particular focus on the rodent vibrissal (whisker) system as a model for tactile perception. Golomb’s major contributions include unraveling how the brain encodes and processes sensory information through rhythmic, synchronized neural activity, and how this activity drives motor output. His landmark study, "Muscle Architecture in the Mystacial Pad of the Rat" (2010, 145 citations), provided a detailed anatomical and functional blueprint of the whisker musculature, revealing how precise motor control enables active touch. This work has been foundational for both neuroscience and robotics, inspiring the design of touch-oriented robots. Golomb’s research has been widely cited, with several papers accumulating hundreds of citations, reflecting his impact on understanding sensory-motor integration. His achievements include elucidating the role of neural oscillations in sensory processing and contributing to the development of biomimetic tactile systems. For students and researchers, Golomb’s work offers a compelling example of how computational models can illuminate the complex interplay between neural circuits, muscles, and behavior.