PhD programmes are based on individual research projects that last 3 or 4 years, working with a specific academic supervisor (principle investigators). Applicants are specifically matched with a principle investigator based on their research interests and background.
The behaviour of mammals is controlled by a complex of interconnected electrically active cells called neurones. To quickly and efficiently process sensory information and plan appropriate motor actions and cognitive responses, these neurones are organised into networks. Such networks are thought to have evolved both for specialised processing within each sensory modality and for multi-modal integration vital for the preparation and execution of behavioural responses. In 21st Century systems neuroscience, cutting edge recording assemblies are used to acquire electrical signals throughout the nervous system. Through the application of sophisticated mathematical and computer models, we seek to improve our understanding of how neuronal networks process sensory information, store and retrieve memories and execute motor actions. This is an immense challenge as these processes are clearly inter-related. The interface of brain sciences with in silico modelling is key to advancing our understanding of how the brain constructs internal representations of the physical world that enable adaptive responses to environmental challenges.