Werner Reichardt Centrum für Integrative Neurowissenschaften (CIN)

Self-organization and Optimality in Neural Networks

Principles of neuronal self-organization

The central theme of my lab is to discover the principles of neuronal dynamics. To this end, we use models of different complexity and multiple data-analysis technics. We believe in a substantial contribution of self-organization to defining the neural dynamics. We are aiming at uncovering how different constraints shape this self-organization. 

Main topics

  • Excitatory/Inhibitory networks
  • Computation close to criticality
  • State-dependant neural computations
  • Neural constraints and self-organization
  • Networks structure and subsampling
  • Collective dynamics and emergence

Selected Publications