We use systems neuroscience methods to understand the distributed circuits underlying skilled behaviors. Of particular interest are changes in cross-area coupling (e.g. motor cortex -> striatum, premotor <-> motor).
We use both model systems and conduct targeted clinical research to guide our translational efforts. We are interested in the following questions:
A closely related goal is to translate our research into treatments for those with chronic impairments.
PI: Karunesh Ganguly, MD PhD
- Silversmith*,Abiri*,Hardy*,Natraj* et al, Plug-and-play control of a brain-computer-inteface through neural map stabilization. Nature Biotechnology. (in press)
- Veuthey T*, Derosier K*, et al., Single-trial cross-area neural population dynamics during long-term skill learning. Nature Communications. (in press)
- Kim 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