A principle from which the neuronal dynamics and synaptic plasticity in arbitrary network architectures can be inferred, so that output errors are online minimized while simultaneously processing sensory input streams.

A very large number of place-field maps can be robustly learned by association of external cues with the grid-driven response, however plasticity in the grid-cell inputs renders the place-cell responses volatile.

A new agent-based model enables predicting how coral species richness and functional diversity affect the functioning and resilience of coral reef ecosystems.

Neural sensory representations impose an inductive bias over the space of learning tasks, allowing some tasks to be learned by a downstream neuron more sample-efficiently than others.

Hamilton's rule can be violated when costs and benefits of cooperation are defined using the counterfactual method, and when they depend on the cooperation of others.

Many published findings about population history that rely on inference of admixture graph models fitted to f-statistics are not robust since the method is generally inappropriate for extracting new information about population history.

The collective dynamics of cell signaling relays are at once dramatically sensitive to the system dimensionality and insensitive to many biological details.

Predictable patterns of fitness evolution observed in microbial evolution experiments can emerge generically as a consequence of widespread epistatic interactions between mutations.

Maternal positional information in the fly embryo can be read rapidly in spite of the gene-expression bottleneck and general examples of regulatory architectures that combine speed and accuracy are provided.