Interacting units in collectives can process information.

Examples of succesful interactions are fish schools escaping from predators, thinking by brains and learning in artificial networks.

We aim at developing theory and analysis to better understand collective behavior as well as to obtain better datasets to test them.

 

Read more about our research HERE

Main Interests

New ways of looking at collective behavior in societies of animals, neurons and artificial systems

Methods

Mathematical modelling and analysis tools, AI, behavior, imaging

Systems

Zebrafish and human groups, networks

Want to join our lab?

CHECK FOR OPPORTUNITIES

AFFILIATION

Champalimaud Foundation

Champalimaud Centre for the Unknown

Avenida Brasília, 1400-038 Lisbon, Portugal

T (+351) 210 480 200

gonzalo.polavieja(at)research.fchampalimaud.org

FUNDING