Dr. Jonathan Dyhr
- Ph.D. University of Arizona, 2009
- B.A. Johns Hopkins University, 2003
My research is focused on understanding the neural basis of behavior. I am particularly interested in bridging different levels of biological understanding, from the the molecular machinery driving cellular processes to the emergent behaviors at the organismal level. More specifically, I study the neural computations underlying sensorimotor processing during active movement. My research uses a combination of techniques including electrophysiology, psychophysical experiments and computational modeling. While insects are my model system of choice, I am also broadly interested in developing and applying quantitative techniques for understanding movement control across biological systems.
Cowan NJ, Ankarali MA, Dyhr JP Madhav MS, Roth E, Sefati S, Sponberg S, Stamper SA, Fortune
ES and Daniel TL. 2014. Feedback Control as a Framework for Understanding Tradeoffs in Biology.
Integrative and Comparative Biology. icu050. doi:10.1093/icb/icu050
Hinson B, Rombokas E, Dyhr JP, Daniel TL, Morgansen KA. (2013). Sensing From Control: Air-
frame Deformation for Simultaneous Actuation and State Estimation. 52nd IEEE Conference
on Decision and Control (CDC). Palazzo dei Congressi, Florence, Italy.
Dyhr JP, Morgansen KA, Daniel TL and Cowan NJ. (2013). Flexible strategies for
flight control: an active role for the abdomen. The Journal of Experimental Biology 216, 1523-1536.
Dyhr JP, Cowan NJ, Colmenares DJ, Morgansen KA and Daniel TL. (2012). Autostabilizing
airframe articulation: Animal inspired air vehicle control. 51st IEEE Conference on Decision
and Control (CDC). Grand Wailea, Maui, Hawaii.
Demir A, Ankarali MM, Dyhr JP, Morgansen KA, Daniel TL and Cowan NJ. (2012). Inertial
redirection of thrust forces for flight stabilization. 15th International Conference on Climbing and
Walking Robots and the Support Technologies for Mobile Machines (CLAWAR). Baltimore, MD, USA.
Dyhr JP and Higgins CM. (2010). The Spatial Frequency Tuning of Optic Flow Dependent Behaviors in the Bumblebee Bombus impatiens. The Journal of Experimental Biology 213, 1643-1650.
Dyhr JP and Higgins CM. (2010). Non-directional motion detectors can be used to mimic optic flow dependent behaviors. Biological Cybernetics. 103, 433-446.