PI Lecture

Abstract: More than three decades ago, it was proposed that certain natural systems can be viewed as self-organized critical systems, which self-tune themselves to special regions in parameter space close

 ABSTRACT: Central theories of learning in human agents emphasize that the quality of instruction and interaction between agents is of high importance for effective knowledge transfer. On the other side,

Abstract: Event-based cameras, also called neuromorphic cameras or silicon retinas, are novel vision sensors that mimic functions from the human retina and offer potential advantages over traditional cameras (low latency,

Abstract: Scalability can be challenging in groups of collaborating agents, such as animals, robots, or computers. While a small group may work efficiently together, a bigger group may be slowed

Abstract: In the cognitive-, behavioral- or neuro-sciences we often match a computational model to observations and then, analyzing the model, hope to find results that generalize to the underlying system.

What's on a mouse's mind? Behavioral measures to understand experiences and needs of an animal Lars Lewejohann, Freie Universität Berlin, German Federal Institute for Risk Assessment (BfR), German Centre for

"Harnessing machine learning to model biological systems" Abstract: Classically, models of biological systems follow two different approaches. In bottom-up approaches, biological data are used to constrain a phenomenological model of

One fundamental difference between human and non-human animals is the ability of humans to instantaneously implement instructed behaviour. While other animals acquire new behaviour via effortful trial-and-error learning or extensive

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Abstract: I will discuss research on a powerful biological model system, the natural clonal fish Amazon molly. Mothers in this female-only species produce genetically identical offspring, allowing us to employ

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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