For a complete list of the lab's publications, see PI Rao's Google Scholar page.

Computational Neuroscience

Computational neuroscience offers a new way to understand the brain by leveraging advances in computing, artificial intelligence, applied mathematics, statistics and biophysics. The lab's research in computational neuroscience focuses on:

Brain-Computer Interfaces

Brain-computer interfaces (BCIs) are devices that connect brains directly to computers. BCIs can both record from the brain ("read" the brain) and stimulate the brain ("write" the brain). BCIs be used to help those who have impairments due to injury or  neurological conditions. For example, by recording electrical signals from the brain, a BCI (1) can decode these signals into intention, such as the intention to move, and (2) actuate this intention by performing some output, such as moving a prosthetic arm, or turning on a light. Our lab works closely with neuroscientists, neurosurgeons and patients to explore novel methods to improve BCI technology. Current research projects include: 

Artificial Intelligence

The lab focuses on neurally-inspired artificial intelligence (AI). Research projects include: