The conference will address the questions arising from multiscale analysis in Neurosciences. From cell to behaviour, the nervous system can be described as networks of components interacting at different temporal and spatial scales, exchanging flux of information. Emergent and immergent properties of neural systems affect the robustness of functions, their plasticity, adaptability and evolvability. Very large sets of phenomenological data can now be obtained from multiple scales of investigations by increasingly sophisticated techniques of imaging and quantitative recordings of all kinds. They need to be brought together and analysed by methods borrowed from various mathematical approaches and statistical physics. It remains that many problems come up from data gathering, data handling and storage and from the theoretical treatment and modelling of the studied objects. Multiscale analysis of complex systems can be applied to many different fields of neurosciences, including cellular neurosciences, development and evolution of the nervous system and cognitive sciences. Both plenary lectures and workshops have been selected and designed for this purpose. New research directions, necessary structures and instruments, sources of funding, education, will be discussed. The format of this meeting aims to attract all neuroscientists or biologist interested in these challenging but very promising approaches.