PI Lecture

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

Collective Information Processing - From Simple Flocking Models to Real Ecological Systems Abstract: Collective systems such animal groups or cellular ensembles represent fascinating examples of self-organization in biology. In contrast

Experimenting with Intelligence Abstract. Within just 7 years, behavioral decision research in psychology underwent a dramatic change. In 1967, Peterson and Beach (1967a) reviewed more than 160 experiments concerned with

The Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)

Visual perception is shaped by the input from our physical environment and by expectations derived from our sensory experience with the visual world. But is what we see also influenced

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,