Ruedi Stoop

Ruedi Stoop received a masters in mathematics from the University of Zurich, for work in the field of partial differential equations using the Sobolev formulation. A PhD in computer-aided physics followed, focusing on the modeling and time series analysis of an NMR laser system. During this time, he developed one of the first algorithms to extract Lyapunov exponents from time series and (in parallel to work performed in Budapest) he developed the generalized thermodynamic formalism and its application to models and experimental data. After a habilitation at the University of Berne focusing on phase transitions in dynamical systems, he joined the newly founded Neuroinformatics research institute run jointly by the University and ETH of Zürich, where he has become a professor. He works presently in three main research areas:
Measurable concepts of natural complexity and computation, with some emphasis on the role of noise;
Neural networks concepts and algorithms of perception, their relation to dynamical systems, with practical and industrial applications;
Sensory systems, including the first electronic hardware construction of a Hopf cochlea, a brain-like electronic model of clustering, and, more recently, the first physics model of pitch perception explaining all known nonlinear pitch phenomena.