Artificial intelligence may soon enable researchers to generate high-quality science at a previously unimaginable speed.

Reliance on artificial-intelligence tools degrades the abilities of physicians and software engineers, studies show.

Workshop description Even putatively simple nervous systems exhibit a high degree of complexity that is not fully understood. The recent discovery of associative learning in box jellyfish, for example...

Grenzschichten zwischen Süß- und Salzwasser könnten bewegliche Wasserorganismen stärker beeinflussen als bislang angenommen. Kieler Forschende zeigen am Beispiel von Würfelquallen, wie ein physikalisc...

Human brain architecture is guiding brain-inspired artificial intelligence (AI) and has been treated as an optimal template, whose deviations could ma…

Uncovering theoretical principles of learning and computation in neural circuits, from single neurons to brain-wide systems.

We introduce efficient Network Reciprocity Control (NRC) algorithms for steering the degree of asymmetry and reciprocity in binary and weighted networks while p

The year saw the creation of YouTube, a new pope, and popping amphibians.

Here, the authors use the diurnal upside-down jellyfish and the crepuscular starlet sea anemone as simple nerve net models to examine the potential evolutionary origins of sleep. They describe and define sleep patterns in these species, finding that sleep deprivation increases neuronal DNA damage and that sleep facilitates genome stability.

During development, neural circuits are shaped continuously as we learn to control our bodies. The ultimate goal of this process is to produce neural dynamics that enable the rich repertoire of behavi...