How the electrical activity among populations of neurons self-organizes to produce behaviors? We use motor pattern generation in the spinal cord as our model system to address this question.

We focus on combining quantitative approaches of mathematics and physics with experiments using electrophysiology, genetics and other biological tools to better understand the nervous system especially the motor system. The lab has a unique multi-disciplinary approach in order to contribute in 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.

New theory on the neural principles behind generation of movement in vertebrates- SFN 2021 presentation (Nov 2021):