Experiments and Theory on collective animal behavior
Analysis of brain dynamics
Adapting and extending AI for data analysis
New ways to look at collective behavior and brain dynamics
Mathematical modelling and analysis tools, behavior, AI, imaging, molecular biology, VR
Zebrafish and Humans groups, networks
It is extremely difficult to understand behavior or how a neuronal circuits works.
Sometimes we get lucky and a simple idea (from control theory, bayesian estimation or information theory) manages to get us some illuminating mathematical expression.
Some other times we resort to more complex ways to analyze the data and give less intuitive but quantitative ways to summarize it (for example, using deep networks).
Another part of our strategy is to use both zebrafish and human experiments as they offer different advantages. With zebrafish we can use techniques from neuroscience and genetics while in humans we can make contact with other disciplines like sociology or economics.
And the most important part of our strategy is to work on stuff we find cool.