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A stochastic model of locomotory control in C. elegans based on an extensive new set of tracking data can explain and predict effects of ablations and mutations on behavior.

Infants' vocalisations are contingent on their own stress physiology, and alter the inter-personal dynamics of how stress states are shared across the infant-caregiver dyad.

Electrophysiological and computational approaches show that superficial and deep cerebellar granule cells preferentially fire during low- and high-frequency inputs, respectively, enabling a Fourier-like transformation in the granule cell layer.

Biochemically detailed modelling of pathways leading to post-synaptic plasticity reveals the dependence of neocortical LTP/LTD on the availability of different proteins and stimulation patterns.

Drosophila uses a gait close to the tripod throughout its speed range, and changes in speed are accompanied by changes in the geometry of the tripod.

Computational modeling of a central decision neuron of Drosophila reveals an electrotonically compact architecture that is ideally suited to support efficient memory storage within a stochastically connected memory circuit.

When mice run, their breathing frequency increases but breaths are not temporally synchronized to strides at any speed or gait.

The diversity of electrophysiological phenotypes of neurons in a functional network increases over development, but can be modulated, and even reduced by sensory experience; allowing them to adapt to a changing and growing brain.