About us
How does the electrical activity among populations of neurons self-organize to produce behaviors? To address this question, we use motor pattern generation in the spinal cord as our model system.
We focus on combining quantitative approaches of mathematics and physics with experiments using electrophysiology, genetics, and other biological tools to understand the nervous system better especially the motor system. The lab has a unique multi-disciplinary approach in order to contribute to understanding motor control in the brain and spinal motor circuits. In particular, we investigate populations of neurons, and how these self-organize as a coherent entity.
The key areas of research are:
- Neuronal Population activity in the spinal cord and brain using large array electrophysiology.
- Development of novel probe technology
- Classification of network architecture in the spinal cord motor circuits.
- Histological clearing techniques for large sample imaging
- Chronic implantation of electrodes and optical fibers in the central nervous system.
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Too busy to read our preprint? Here's an AI-generated podcast of our recent new theory of the neural mechanism of locomotion in mammals:
Out in this month's issue of Aging Cell. Motor neurons do better in the presence of primary human muscle cells from older exercisers vs non-exercisers
🙏@lundbeckfonden for the Ascending Investigator grant 4 years ago to see this work through