报告人
Jesse Goldberg, MD, PhD
Department of Neurobiology and Behavior, Cornell University
A collicular map for
touch-guided tongue control
主持人：
Tatsuo Okubo博士
报告时间：
2024年11月6日
11:00-12:00
报告地点：
北京脑科学与类脑研究所
二期X102报告厅
报告语言：
英语
报告摘要
A collicular map for touch-guided tongue control
Accurate goal-directed behavior requires the sense of touch to be integrated with information about body position and ongoing motion. Behaviors like chewing, swallowing and speech critically depend on precise tactile events on a rapidly moving tongue, but neural circuits for dynamic touch-guided tongue control are unknown. Using high speed videography, we examined 3D lingual kinematics as mice drank from a water spout that unexpectedly changed position during licking, requiring re-aiming in response to subtle contact events on the left, center or right surface of the tongue. Mice integrated information about both precise touch events and tongue position to re-aim ensuing licks. Surprisingly, touch-guided re-aiming was unaffected by photoinactivation of tongue sensory, premotor and motor cortices, but was impaired by photoinactivation of the lateral superior colliculus (latSC). Electrophysiological recordings identified latSC neurons with mechanosensory receptive fields for precise touch events that were anchored in tongue-centered, head-centered or conjunctive reference frames. Notably, latSC neurons also encoded tongue position before contact, information important for tongue-to-head based coordinate transformations underlying accurate touch-guided aiming. Viral tracing revealed tongue sensory inputs to the latSC from the lingual trigeminal nucleus, and optical microstimulation in the latSC revealed a topographic map for aiming licks. These findings demonstrate for the first time that touch-guided tongue control relies on a collicular mechanosensorimotor map, analogous to collicular visuomotor maps associated with visually-guided orienting across many species.
Jesse received his B.S. from Haverford College and his MD/PhD degrees from Columbia University. His PhD with Rafa Yuste focused on dendritic computation and microcircuits of the cerebral cortex. In medical school, he became interested disorders such as Parkinson's and dystonia that impair basal ganglia dependent reinforcement learning (RL). His postdoctoral work at MIT focused on vocal learning in songbirds. At Cornell, his lab studies motor control, learning, and social behavior in mice, songbirds and parrots. His guiding philosophy is that comparative approaches distinguish general principles from behavior-, effector-, machine- and species-specific solutions to motor learning problems. Jesse has been supported by the Pew, Klingenstein, and Kavli foundations, as well as the NIH New Innovator and Cornell Neurotech programs.
