Gradient-descent synaptic plasticity applied to neuroscience categorization tasks captures the behaviour of common neural activity measures (category and context selectivity, correlation, asymmetry) reported in experiments, and makes novel experimental predictions.

Experiments and modeling suggest that a mechanism involving positive and negative feedback can explain the relationship between the neural activity of socially interacting bats.

A new measure for cross-frequency coupling assesses phase-amplitude coupling and amplitude-amplitude coupling, and accounts for confounding factors such as low-frequency amplitude fluctuations, using a flexible statistical modeling approach.

An analysis of the relation between neural activity and behavioral output uncovers two dynamical regimes, shows how to model them, and demonstrates how to find them in experimental data.

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

The stability of metabolic autocatalytic cycles that are widespread in central metabolism limits the affinities of enzymes at flux branch points and explains excess expression of these enzymes.