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Mission Statement

Understanding how mind emerges from matter remains one of the great open questions in science. The artificial cognitive systems lab studies the computational mechanisms of learning, inference and control in natural systems. To this end, we bring together ideas from machine learning, computational neuroscience, control theory, dynamical systems theory, statistical physics and theoretical biology. Our aim is to advance our understanding of how biological agents learn to behave in complex environments. Such understanding may, in turn, drive the development of more capable and efficient intelligent agents and provide new insights about human brain function.