Computational Neuroscience

Computational neuroscience uses models, theory and simulation to explain how neural systems compute, from single neurons and circuits to learning and behaviour. Conferences combine modelling research with data analysis methods, software tutorials and links to machine learning. Delegates include computational and theoretical neuroscientists, doctoral researchers, experimentalists collaborating on models, and engineers working on neural data and neuromorphic systems.