Changing neural dynamics during motor learning

The neural activity of the brain is intimately coupled to the dynamics of the body. Yet how our hierarchical sensorimotor system dynamically orchestrates the generation of movement while adapting to incoming sensory information remains unclear. To tackle this question, we have developed a series of deep learning tools that have enabled us to measure 3D kinematics and jointly model neural and behavioral dynamics. In this talk, I will briefly discuss these tools and then show how our lab uses them to dissect the neural contributions to motor control and learning. Specifically, we developed joystick-based tasks for mice where they must learn to rapidly adapt to changes in the environment. Using large-scale 2P-imaging in the cortex, we find functional grouping of neurons that have specific computational motifs that act as a substrate for learning.

The Cognitive Science Colloquium series is the most attended event of our department, hosting monthly talks by world-renowned experts in various fields of cognitive science, including neuroscience, psychology, linguistics, philosophy and anthropology.

2024-2025 Program