Abstract

Nervous systems are formidably complex networks of nonlinear interacting components that self organise and continually adapt to enable flexible behaviour. Robust and reliable function is therefore non-trivial to achieve and requires a number of dynamic mechanisms and design principles that are the subject of current research in neuroscience. A striking feature of these principles is that they resemble engineering solutions, albeit at a greater level of complexity and layered organisation than any artificial system. I will draw on these observations to argue that biological robustness in the nervous system remains a deep scientific puzzle, but not one that demands radically new concepts.