Various neural signals contain information about the underlying brain activity. Specifically, movement and movement intentions are encoded in the motor cortex region of the brain. The group focuses on developing algorithms for accurate and robust control of prosthetic devices using a spectrum of neural signals from spikes to EEG, as well as providing feedback to the device user.

The group focuses on using electrophysiology to understand clinically relevant situations such as spinal cord injury, neurological consequences of cardiac arrest, and therapeutic hypothermia. In particular, we record spike, EEG and SEPs from rat somatosensory cortex and use measures such as quantitative EEG (QEEG) analysis to predict survival and functional outcome.

The group focuses on using microfabrication techniques to create novel high-throughput platforms that enable highly controlled environment for single cell studies. Our work is mainly focused on axonal regeneration, guidance, and spatial control of gene expression in living cell microarrays.

The group focuses on developing novel imaging techniques and image processing algorithms for functional and anatomical imaging of the brain. In particular, we use laser speckle imaging to study vessel architecture, brain activity, and neurovascular coupling in rodent models.

The group focuses on using integrated circuit design technologies in CMOS to develop biomedical instrumentation and platforms for neurological and cellular research. In particular, we develop implantable neuropotential and neurochemical monitoring systems to understand the interplay between these two neural modalities, as well as monitoring each signal in rodents.