We are interested in finding different mathematical approaches to learning inspired by modern Mathematics, Neuroscience and behavior
We are a group of Physicists, Mathematicians, and Biologists at Champalimaud Foundation in Lisbon.
We are interested in how best to learn from data to build a model that is both predictive and insightful. On one hand, we develop new mathematical frameworks to take advantage of different mathematical properties, lately using Model Theory and Universal Algebra, see algebraic.ai. We also push the state-of-the-art to see which kind of models we can produce for some specific problems, and we have chosen to mostly concentrate on collective behavior for its relevance and beauty. To test the relevance of our models, we also perform our own experiments in zebrafish collectives, for which we develop tracking systems that work by identifying each individual, see idTracker and idtracker.ai. For our modeling approaches see this, this, even this, or this other one. Using zebrafish also opens a window into the neuroscience of social behavior. Before this work, we enjoyed thinking about neuronal coding, deviations from optimality in biology, wiring economy and quantum mechanics.
You can also find more of our work present and past at google scholar.
If you are interested, please contact us at firstname.lastname@example.org or email@example.com
Champalimaud Centre for the Unknown
Avenida Brasília, 1400-038 Lisbon, Portugal
T (+351) 210 480 200