Latest Past Events

Daniel M. Wolpert (Columbia University), “Contextual Inference Underlies the Learning of Sensorimotor Repertoires”

Abstract: Humans spend a lifetime learning, storing and refining a repertoire of motor memories. However, it is unknown what principle underlies the way our continuous stream of sensorimotor experience is segmented into separate memories and how we adapt and use this growing repertoire. Here we develop a principled theory of motor learning based on the

Katharina Scheiter (University of Potsdam), “Multimodal Learning: Underlying Processes and How To Support Them”

Abstract:Theories of learning from multimodal sources (e.g., combinations of text and pictures, aka multimedia) posit that in order to effectively learn from multimedia, students need to select information from text and pictures, organize the information in memory, and most importantly, integrate the information into one mental model. In the first part of my presentation, I

Pawel Romanczuk, “Modeling of Flocking &Amp; Swarming With Stochastic Agent-Based Models”

Abstract: Collective behavior, as exhibited by bird flocks, fish schools or insect swarms, is a fascinating example of self-organized behavior in biology. Mathematical models of flocking were key for the development of our current understanding on how complex complex group-level behaviors may emerge from simple local rules of interaction of close-by individuals. In this lecture