PI Lecture

Abstract: Oliver Brock will talk about these five things: 1) Is intelligence non-decomposable? 2) Does intelligence require multiple computational paradigms? 3) To neuroscience or not to neuroscience? 4) A principle

Abstract: Oliver Brock will continue exploring about these five things: 1) Is intelligence non-decomposable? 2) Does intelligence require multiple computational paradigms? 3) To neuroscience or not to neuroscience? 4) A

Abstract Actions affect perception directly and in multiple ways, exerting their influence (1) by modifying parts of the external world, (2) through internal processes accompanying movement preparation, and (3) through

Reasoning (or planning, rational decision making) seems a core aspect of intelligence -- but what exactly does that mean? If we observe clever behavior in an animal, can we claim

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