How does the brain turns the world into meaning? How does a smell, a sound, or a touch becomes something
we recognize and respond to? Our research builds computer models of brain cells and networks that are based on mathematical equations
to answer these questions. By studying
systems like smell and hearing, we uncover simple rules the brain uses to process information, even in complex environments.
This work can help improve treatments for brain disorders, guide the design of smarter technologies, and open new opportunities
for students to learn how math and science connect to real life. In the long run, it brings us closer to understand how the brain
works, and how we can help it work better.
We are particularly interested in understanding structural changes in the nervous system
that are associated with learning, disease, and trauma, and how they change the dynamic activity of the brain. We also want to know
how sensory systems work and are integrated.
Another part of our research contributes to an international collaboration to create
tools that help researchers make their science reproducible, including resources that help scientists develop and share their computational models.