Recent advances in motor behaviour research rely on detailed knowledge of the characteristics of the neurons and networks that generate motor behaviour. At the cellular level, neurons, networks, and motor behaviour describes the computational characteristics of individual neurons and how these characteristics are modified by neuromodulators. At the network and behavioural levels, this volume discusses how network structure is dynamically modulated to produce adaptive behaviour. Comparisons of model systems throughout the animal kingdom provide insights into general principles of motor control. Contributors describe how networks generate such motor behaviours as walking, swimming, flying, scratching, reaching, breathing, feeding, and chewing. An emerging principle of organization is that nervous systems are remarkably efficient in constructing neural networks that control multiple tasks and dynamically adapt to change.