Analysis of neuronal circuit architecture provides mechanistic insights into what an adult fly can learn, remember, and use to guide its behavior.

Selection for asymmetric signalling between gametes explains the very origins of sexual asymmetry as seen in mating-types with morphologically similar but self-incompatible gametes.

A computational model for the control of chemotaxis in the Drosophila larva clarifies the link between the peripheral encoding of naturalistic olfactory stimuli and action selection.

An integrative approach is used to identify a mechanism by which the fitness effects of Y chromosomes can manifest via trans effects on autosomal genes, through their effects on male courtship and other sexually selected traits.

The Mouse Action Recognition System is a computational pipeline for automated classification of social behaviors in freely interacting mice, accompanied by a graphical interface for analysis of multimodal neuroscience datasets.

A computational model of the neuronal network that recognizes mating signals reveals network properties that support and constrain behavioral diversity in a species group.

Intrinsic neuronal resonance stabilizes heterogeneous neural networks by suppressing low-frequency perturbations.

Expression pattern analysis of neurotransmitter synthesis, secretion, and reuptake machinery reveals animal-wide usage of neurotransmitters in both sexes of Caenorhabditis elegans.

Mathematical modelling and large-scale online experiments revealed that learning from others can induce 'smarter' decisions even when most individuals are biased towards adverse risk aversion.