JAABA: interactive machine learning for automatic annotation of animal behavior

We present a machine learning-based system for automatically computing interpretable, quantitative measures of animal behavior. Through our interactive system, users encode their intuition about behavior by annotating a small set of video frames. These manual labels are converted into classifiers that can automatically annotate behaviors in screen-scale data sets. Our general-purpose system can create a variety of accurate individual and social behavior classifiers for different organisms, including mice and adult and larval Drosophila.

Wahrnehmung und Identifikation im Theater

Theater berührt, Theater bewegt. Theater regt an: Wie ist es möglich, dass wir uns mit Figuren - seien es Schauspieler aus Fleisch und Blut, Puppen oder abstrakte Körper - auf der Bühne identifizieren. Das Gespräch dreht sich um Wahrnehmung und Vorstellung im Theater. Es fragt danach, wie das Publikum fähig ist, für Figuren Empathie zu entwickeln, Figuren zu lieben, zu hassen, mit Figuren zu leiden und sich Handlungen anzueignen, als ob sie real wären. Es will wissen, was im Menschen vorgeht, wenn er das tut, und was umgekehrt mit diesem Menschen passiert, wenn er sich einlenkt und einfühlt in das Geschehen auf der Bühne.

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