Theoretical methods are employed to describe and understand particular processes in neural systems on the level of single cells or populations. The focus is mainly on the neural coding problem, mathematical models of neuronal activity, and biophysical modeling of axon growth and circuit formation. The results are validated by using experimental data and numerical simulations. Information theory, stochastic processes, differential equations and statistics provide the necessary tools.
We are involved in:
- The Board of Directors of the Organization for Computational Neurosciences (OCNS), organization of the Prague 2015 meeting and of the annual Workshops on Methods of Information Theory in Computational Neuroscience
- Organization and committee membership in the biennal Neural Coding workshop series since Prague 1995 (Prague 2012; Versailles 2014; Cologne 2016; Torino 2018; Seattle 2020)
- Organization of the Information beyond Shannon 2013 workshop (Prague)
- Associate and Guest editorship: Neural Processing Letters; BioSystems; Mathematical Biosciences and Engineering; Frontiers in Integrative Neuroscience