NEURAL ENGINEERING & PLASTICITY LAB
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We use systems neuroscience methods to understand the distributed circuits underlying skilled motor behaviors.  We are interested in the following questions:
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  1. How do motor areas dynamically coordinate their activity during learning and recovery?
  2. How does sleep and "off-line" activity drive plasticity, learning and recovery?
  3. How can artificial neural interfaces augment plasticity and function?

​A closely related goal is to translate neural engineering based  approaches into treatments for those with impaired function.
 
​PI:  Karunesh Ganguly, MD PhD
karunesh.ganguly@ucsf.edu           


Featured Publications.
  • Kim JK et al., Competing Roles of Slow Oscillations and Delta Waves on Memory Consolidation versus Forgetting. Cell.  2019
  • Lemke et al.  Emergent Modular Neural Control Drives Coordinated Motor Actions.  Nature Neuroscience 2019
  • Ramanathan*, Guo* et al..   Low frequency cortical activity is a neuromodulatory target that tracks recovery after stroke.  Nature Medicine. 2018
  • Gulati et al..  Microstructure of reactivations predict network modifications.  Nature Neuroscience. 2017
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