For a chaotic system pairs of initially close-by trajectories become eventually fully
uncorrelated on the attracting set. This process of decorrelation can split into an initial …

The field of bio-inspired computing has established a new Frontier for conceptualizing
information processing, aggregating knowledge from disciplines as different as …

Biological neural networks are able to control limbs in different scenarios, with high
precision and robustness. As neural networks in living beings communicate through spikes …

Walking animals demonstrate impressive self-organized locomotion and adaptation to body
property changes by skillfully manipulating their complicated and redundant …

Spontaneous brain activity is characterized in part by a balanced asynchronous chaotic
state. Cortical recordings show that excitatory (E) and inhibitory (I) drivings in the EI …

In dynamical systems with distinct time scales the time evolution in phase space may be
influenced strongly by the fixed points of the fast subsystem. Orbits then typically follow these …

Which kind of complex behavior may arise from self-organizing principles? We investigate
this question for the case of snake-like robots composed of passively coupled segments …

Self-organized robots may develop attracting states within the sensorimotor loop, that is
within the phase space of neural activity, body and environmental variables. Fixpoints, limit …

The sensorimotor system is in general a product of evolution, development, learning and
adaptation 24 (Todorov, 2004). One may examine alternatively whether self-organizing …

Behavior is characterized by sequences of goal oriented conducts, such as food uptake,
socializing and resting. Classically, one would define for each task a corresponding …