Neuroscience and machine learning. Combined.
We use mathematics and engineering to understand the brain as an engineered system. And develop next generation machine learning from the brain.
Our lab's research is focused at the intersection of mathematics, physics, and engineering in order to understand how the brain learns, represents, and processes complex information. We have a strong interest in understanding what happens when there is a breakdown in signaling in neurodevelopmental disorders; in particular as Autism Spectrum Disorder. Much of our focus is in studying how network geometric and topological structure constrains and determines dynamic function. We are also developing a fundamentally new machine learning architecture that can learn and encode data and information without any prior training. And we also have an interest in the development of advanced brain machine interfaces and neural prosthesis that adapt and learn to new data in order to modulate their outputs.
Center for Engineered Natural Intelligence Research Review Symposium - December 4th, 2018
Industry and the government invited speakers and panels will precede CENI faculty giving talks. The goal is to provide a perspective on open problems and challenges in the space of ML/AI, computation, data, neuroscience, and broader neural engineering issues that the center’s research and approaches touch on. Registration details to follow soon.