Topic: interaction

Supports synthetic training data for models that understand everyday human activity. Topics include scene-conditioned text-to-simulation motion and interaction, causally coherent audio-visual synthesis, hours-scale multimodal episode generation with persistent world state, and action-conditioned scenario synthesis using world models. Research should improve activity coverage, cross-modal consistency, episode duration and control over generated scenarios. Use the ARA proposal template; four pages excluding appendices are encouraged. Decisions are expected in February 2027. Applications close o

Being fundamentally a non-equilibrium process, synchronization comes with unavoidable energy costs and has to be maintained under the constraint of limited resources. Such resource constraints are often reflected as a finite coupling budget available in a network to facilitate interaction and communication. In this talk, I will show that introducing temporal variation in the network structure can lead to efficient synchronization even when stable synchrony is impossible in any static network under the given budget. Our strategy is based on an open-loop control scheme and alludes to a fundament

In this talk, Dr. Schweinhardt will discuss top-down (i.e. cerebral) modulation of the perception and processing of nociceptive stimuli using selected examples in chronic pain patients as well as healthy subjects. Data on activity-dependent central sensitization will be presented as a case of bottom-up pain modulation. Finally, Dr. Schweinhardt will present a new line of research with which she aims at studying the interaction of top-down and bottom-up pain modulation.