Abstract: Models of vision have come far in the past 10 years. Deep neural networks can recognise objects with near-human accuracy, and predict brain activity in high-level visual regions. However, most networks require supervised training using ground-truth labels for millions of images, whereas brains must somehow learn from sensory experience alone. We have been using
As part of the events linked to the exhibition Nach der Natur at the Humboldt Forum, on 25 November at 7pm cluster members Jens Krause, Lea Musiolek, and Pawel Romanczuk will take part in an exciting discussion on the meaning, the study, and the challenges of collective intelligence, bringing great examples and fascinating materials. How
From French photographers, Austrian naturalists and English adventurers – all have been equally fascinated by the way we are affected by, and interact with our surroundings. It is the intricate interplay between self and others, known and unknown, present and future that makes behaviour so hard to grasp and exciting to study. Ethology, the study
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