Self-organization in Adaptive SystemsHead of group: Geisel, Theo
The following serves as an overview over the projects and members in the group "Self-organization in Adaptive Systems" at the Max Planck Institute for Dynamics and Self-Organization.
Neural networks display characteristics of critical dynamics in the neural activities as theoretically predicted. The power-law statistics for the size of avalanches of neural activity was confirmed in real neurons, where the critical behavior is re-approached even after a substantial perturbation of the parameters of the system. These findings provide evidence for the presence of self-organized criticality (SOC). We study neural network models that exhibit power-law statistics with realistic synaptic mechanisms, such as synaptic depression.