Cortex-dependent corrections as the mouse tongue reaches for and misses targets
Cornell University, USA & Salk Institute, USA
Hosted by Cambridge NeuroTech
Abstract
Brendan Ito (Cornell University, USA) and Teja Bollu (Salk Institute, USA) share unique insights into rapid online motor corrections during mouse licking, analogous to primate goal-oriented reaching. Techniques covered include large-scale single unit recording during behaviour with optogenetics, and a deep-learning-based neural network to resolve 3D tongue kinematics during licking.
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